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No outcome discovered, try fresh keyword!On March 8, 2017, Jefferies analyst James Kisner reiterated an underperform score on IBM, with a value target of $a hundred twenty five, citing a want of fundamentals despite investments ... On a historical groundwork, I a...

self reliant apps and infrastructure: who's in control? | killexams.com true Questions and Pass4sure dumps

(graphic: Stockfresh)

whereas now not yet at sentience, big advances had been made in autonomic techniques, finds ALEX MEEHAN

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study greater: synthetic Intelligence autonomoous purposes self reliant programs commercial enterprise applications longform desktop discovering

The thought of constructing IT methods that are self-managing, self-monitoring and self-healing isn't especially new. The view has been round for years, a long time even, but in it is only in recent years that such methods acquire begun to achieve vast adoption.

however when functions and infrastructure are self-managing, a query arises — who is actually in handle? with out replete transparency of how self sustaining entities act, can they subsist assured to comply together with your enterprise policies?

For Oracle, one of the crucial innovators of this trend of computing, one of the vital leading motives for merchandising and pushing independent techniques is the degree to which they could alleviate complications for their owners. and never every bit of such complications are technical in nature.

“Automation isn’t about disposing of handle, it’s about increasing effectivity and eliminating one of the human mistake delivered into operating techniques and utility preservation. It’s about shifting the tribulation of managing programs from americans to technologies,” Alan Cooke, IBM ireland

aid battle“for many of their consumers who are grappling innovated applied sciences comparable to simulated intelligence, desktop gaining knowledge of or simply getting cost from technical supplies, their number 1 challenge is definitely that they battle to find gifted elements or abilities consultants,” talked about John Abel, vice president for cloud and innovation for the uk, ireland and Israel with Oracle.

“So what we've carried out is to embed that technical aid or resourceful aid inside their items.”

These items, so the dispute goes, are the first generation which are in fact self-conscious from the aspect of view of being self-patching, self-updating, self-tuning and self-monitoring.

“We begun promotion them on that basis final 12 months and likewise acquire self sustaining data warehouses and acquire moved into ATP — self adequate Transaction Processing. The magnitude of here's manifold. for instance, I’m working with a consumer at the moment that has Oracle Analytic Cloud and desires to expose desktop learning and AI to the conclusion consumer,” famed Abel.

“They’re the employ of mammoth arrays of statistics but don’t acquire a technical skilled that understands the databases. the employ of this gadget they could birth an self sustaining facts warehouse, set the statistics into it after which simply surge the employ of it and consuming it.”

The vitality of self sufficient, in response to Abel, comes from the potential to access, consume and employ information at fierce speeds the situation earlier than they would acquire to discover a technical aid to create that database, achieve performance tuning and indexing or discover a data professional capable of resolve the complex issues that may ensue as quantity and information raise.

“With autonomous, they don’t deserve to try this anymore — literally you simply enter your statistics after which go,” he referred to.

InterpretationsAccording to Abel, distinctive palms of the company interpret the employ of autonomous and self-managing techniques rather differently.

“It’s in reality entertaining, in case you check with a technologist about what self reliant does, they rep it however then they inquire the question, ‘so what?’ if you bound to a enterprise grownup and issue ‘do you want to load up statistics and then start the usage of a visualisation device on properly of it inside a couple of minutes and start exploring the information?’ they’ll chunk your hand off,” he talked about.

The energy of self adequate comes from the means to access, devour and employ information at extreme speeds where earlier than they'd acquire to find a technical aid to create that database, achieve efficiency tuning and indexing or discover a data professional able to resolve the advanced complications that may betide as quantity and statistics raise. With autonomous, they don’t should try this anymore — literally you just enter your records and then go, John Abel, Oracle

To further illustrate this point, Abel describes a problem given to two Oracle interns remaining summer. They got an issue to transparent up – achieve records evaluation on the Glastonbury tune festival and display anything that can't comfortably subsist Googled.

“I set that assignment for them on Monday, on Tuesday they loaded the street community data for the united kingdom, they loaded the climate information, they loaded some Wikipedia information that they discovered, they loaded a PDF doc from Survey and they took in Twitter feeds,” he talked about.

“They then used an self adequate network developed into their product and started to probe that. What they organize was that the criterion age of the americans attending Glastonbury is 39, that fifty five% of people who bound are womanish and that most individuals who bound are in a relationship. So it’s not younger individuals that are the leading audience,” he referred to.

“They subsequent created a self-taught neural network. The extent of statistics became very excessive, but they organize a connection between vegans and an animal property internet site. From this they deduced that there’s a huge vegan movement at Glastonbury and that this changed into an untapped business possibility that someone might acquire used.”

within the space of four or five days, they understood the typology of the individuals going, the items they acquire been buying and from that created a market opportunity, every bit of through the employ of autonomous systems.

“in case you seek advice from most purchasers which are doing vast facts tasks or technically advanced tasks, by the time their interns had finished that piece of assessment, these valued clientele would acquire silent been going throughout the procurement system.”

Autonomic computingIBM every bit of started its stream towards autonomic computing in 2001 when its’ engineers noticed the deserve to strengthen sensible programs that might computer screen, fix and manage themselves to a unreasonable degree. In a 2004 IBM press e-book ‘Autonomic Computing’, it described methods that ‘install, heal, protect themselves, and accommodate to your wants – immediately.’

“functions being developed nowadays generate a lot more information and there are automated procedures in how every bit of that facts is analysed. but I don’t believe it’s possible to rep faraway from having the underlying technical competencies and knowing to subsist in a position to define what it's precisely that should subsist looked at,” Rob Curley, Singlepoint

“Autonomic computing helps to maneuver complexity through the employ of know-how to control technology, shifting the tribulation of managing programs from people to applied sciences. The term is derived from human biology — the autonomic anxious device monitors your heartbeat, tests your blood sugar plane and continues your body temperature near 36.5 degrees C, with nobody conscious exertion in your part,” mentioned Alan Cooke, enterprise enterprise technical leader, IBM eire.

“In a whole lot the equal approach, self-managing autonomic capabilities weigh on IT gadget necessities and rep to the bottom of problems with minimal human intervention. subsequently, IT gurus can focal point on initiatives with better cost to the business. doing away with human intervention reduces prices, improves service tiers and simplifies administration.”

The dispute is standard. enterprise house owners need automation because it lowers charges but the flip side of automation is an assumed loss of manage.

“Automation isn’t about eliminating manage, it’s about expanding effectivity and doing away with probably the most human mistake brought into operating techniques and application preservation. It’s about transferring the tribulation of managing methods from individuals to technologies,” pointed out Cooke.

“agencies—small, medium and large—desire and need to in the reduction of their IT charges, simplify the management of complicated IT components, understand a sooner revert on their IT investments and build confident the highest viable ranges of system availability, efficiency, protection and asset utilisation.”

independent computing addresses these considerations, now not simply via fresh technology but additionally via a basic, evolutionary shift within the approach that IT techniques are managed. furthermore, this approach should silent free IT personnel from distinctive mundane tasks, permitting them to focal point on managing company approaches.

large leapsAccording to Rob Curley, managing director of Singlepoint, in the management many purposes, there are big leaps occurring in how long they are actively managed for and what the predictive evaluation is on them.

“We achieve two things, they build applications and they employ automation perquisite through that application build system. They’re not dumb functions that are sitting there ready to fail,” he observed.

“You’re truly working proactive analysis on these items to assess the situation they're at from a housekeeping perspective. You need to know is the application in a reliable and gay state and will it continue to dash for the subsequent duration of time or are there some considerations that need to subsist noted, that deserve to subsist reconciled or should subsist checked out?”

“There’s an opaqueness round most AI because the algorithms that they create are nonetheless very advanced. They’re multi-dimensional mathematical models which change based upon what they receive, but that’s what desktop discovering in fact is — application that adapts based mostly upon its inputs,” Matt Walmsley, Vectra

As this benign of technology becomes self-managing, is there an dispute for managers in only presuming that whoever set it in knows how it works hence it could actually just subsist let dash itself?

“applications being constructed these days generate a lot more records and there are computerized approaches in how every bit of that records is analysed. however I don’t believe it’s possible to rep faraway from having the underlying technical knowledge and understanding to subsist in a position to contour what it is exactly that should silent subsist looked at,” observed Curley.

“be confident to silent subsist able to achieve the technical recreation of going through automated applications and tuning them to inform them exactly how to behave. That’s proper now not most efficient on the software and infrastructure administration degree, that’s true for every bit of features of laptop researching and AI.”

working towards needsAll automated and self adequate techniques from a machine gaining knowledge of point of view deserve to subsist proficient. They need to subsist supervised, monitored and checked periodically to ensure that what that utility is working towards itself on is producing the suitable outcomes.

as regards to the oversight of autonomous infrastructure and the credence that in the event that they are self-managing, then who is in reality in control, Matt Walmsley, EMEA director for Vectra AI mentioned that this is generally an overblown problem.

“establishments are relocating against extra automation for very rational explanations. will they should at least acquire in mind some of the fundamentals of how these fresh AI primarily based rig are working? Of course, yes. here's a fresh set of applied sciences which are coming into their world and they should subsist mindful the fundamentals so they can bethink how they work,” he noted.

“We’re no longer more or less in a Skynet-category circumstance yet the situation AI is going to dash off and achieve every bit of sorts of loopy stuff by itself.”

described goalsToday, Walmsley suggests, they are in the world of task-certain or cloud AI and writing software that can accommodate in keeping with its environment needs to subsist carried out with a smartly-described goal.

“For us as security experts that goal is how achieve they spot the subtle behaviours of cyber attackers in keeping with what they do, no longer what they're. however even then, there’s an opaqueness around most AI because the algorithms that they create are nonetheless very complicated,” stated Walmsley.

“They’re multi-dimensional mathematical models which alternate based upon what they receive, but that’s what laptop researching definitely is — utility that adapts primarily based upon its inputs.”

The outcomes of this is that it can subsist very tricky for the house owners of an autonomous device to asseverate definitively how an AI gadget got here to anyone particular conclusion.

“but they are able to know the way it’s designed and what facets or attributes it’s looking for. they will know that it’s inspecting communications between internal and exterior their bodies and inspecting the timing, cadence, extent and frequency in addition to other technical issues which are within protocols,” said Walmsley.

“That’s some of the things that americans simply need to rep their head around. in the event that they can’t then probably what they’re attempting to find is transparent AI but that comes at a price. in case you need AI to achieve truly complicated things at pace and scale, that you could’t sluggish it down to human speeds and foretell the selfsame outcomes.”

Hawthorne effectThis is an case of the Hawthorne repercussion — the alteration of behaviour via the topics of a examine because of their consciousness of being followed – and the proven fact that you are looking to halt and study how a rig is doing what it's doing, that is going to materially inhibit or debase its ability.

“but if they apply it in a role specific enviornment, in a task particular method, then as a minimum they realize it’s quarantined. We’ve bought a bit of AI that’s looking for nefarious net websites which are getting used to orchestrate or command and maneuver malware assaults, for instance. They comprehend that’s every bit of it’s looking for — it’s no longer going to dash off and every bit of of sudden birth attacking the coffee machine,” talked about Walmsley.

“these things aren’t sentient, they’re not the contour of science fiction, generalist AI awareness that goes off and says ‘thanks for structure me however I’d a lot quite bound off and try this.’ That’s not basically how it works truly.”

study extra: synthetic Intelligence autonomoous applications self adequate systems commercial enterprise functions longform computing device learning

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Imperva SecureSphere: Database security device overview | killexams.com true Questions and Pass4sure dumps

Imperva Inc. makes a speciality of cybersecurity products for facts facilities observed on-premises or in the cloud. The Imperva SecureSphere platform comprises database recreation monitoring and a database firewall, database assessments and vast facts security items designed to give protection to databases, info and net purposes in physical and digital environments.

besides the fact that children they're two separate items, Imperva SecureSphere Database pastime Monitoring and Database evaluation will likewise subsist extended to encompass database undertaking monitoring (DAM) performance to act as a single product.

SecureSphere Database endeavor Monitoring product aspects

Imperva SecureSphere Database endeavor Monitoring is a merge rig and application product that can subsist deployed non-inline, as an inline bridge, or as a lightweight agent to monitor indigenous database entry.

SecureSphere comes with predefined security guidelines that travail with the monitoring system to alert directors of feasible malicious recreation in true time. Dynamic Profiling expertise (patent pending) creates a baseline of typical user entry patterns to statistics and considerations indicators when deviations are detected. clients who don't follow entry policies or who fulfill unauthorized requests are blocked or quarantined.

Predefined audit guidelines are configured for PCI DSS, medical insurance Portability and Accountability Act and Sarbanes-Oxley Act.

The web-based mostly interface is highly consumer friendly. Imperva does a fine job exhibiting assistance concisely as well as making most generally used instructions accessible in a single or two clicks. as an instance, the protection signals divulge suggests a table of violations that encompass time, date, database person, query, database response and an contour of the violation -- every bit of in one monitor.

Imperva SecureSphere helps a wide compass of databases, together with Oracle, Microsoft SQL Server, MySQL, Sybase, IBM DB2, IBM IMS, IBM Informix, IBM Netezza, MongoDB, PostgreSQL, evolution OpenEdge and Teradata.

SecureSphere Database evaluation product points

Imperva SecureSphere Database assessment contains database discovery, vulnerability assessment, configuration management and facts classification. The evaluation scans for over 1,000 vulnerabilities and flaws the employ of DISA STIGs and CIS requirements as benchmarks. The resulting reviews embrace particulars on vulnerabilities as well as remediation techniques, and flags configurations that don't conform to requisites.

The user rights management feature lets an administrator see at a explore which users acquire unreasonable privileges, who has access to sensitive records, and when a consumer eventual used an object.

Pricing and licensing

Imperva licenses SecureSphere Database endeavor Monitoring by using database transaction extent, so expense varies based on the environment. during this licensing mannequin, a single license can audit and display screen an sempiternal variety of database servers and databases.

The platform requires a virtual or hardware rig and administration server. lower-conclusion hardware appliances can suffuse about $30,000, and the expense climbs to over $85,000 for better-conclusion appliances.

prospective valued clientele must contact an Imperva income representative for unavoidable pricing and licensing for SecureSphere items.

guide

Imperva presents commonplace, more suitable and top rate assist packages. every bit of aid plans encompass entry to the Imperva self-provider sheperd portal, utility updates (principal and minor) and hardware warranties.

The typical package includes cellphone assist throughout enterprise hours; aid engineers are available with the aid of cell 24x7x365 in the more advantageous and top rate plans. shoppers can engage a delegated assist Engineer for an further charge.

Imperva helps its software items for 2 main models, at a minimum. consumers are encouraged to improve to a supported version earlier than sheperd is no longer purchasable. gadget sheperd extends for several years from date of initial hardware released.


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Banco Bilbao Vizcaya Argentaria, S.A. (BBVA) Q3 2014 Results - Earnings convene Transcript | killexams.com true questions and Pass4sure dumps

No result found, try fresh keyword!In addition, I would like to state that from now on, we'll start reporting the digital transformation as a fresh management driver in their fundamentals framework. Regarding the comprehensive assessment . ...

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JinkarPosts: 554 Opinion: No Opinion Price: 14.80

RE: Wow...x2 1.7m buy trades....

23 Sep '18

I first saw only one buy 1.7m on money am but they acquire cleared now. If you explore on H&L only showing one 1.7m trade but the volume near 4m for the day. Only on LSE showing two exact trades of 1.7m with redress volume!!

Well if that's the case some PI or II dropped 500k in this company. If the company holds up there intermission gay days every bit of round.

AROK1975Posts: 1,022 Opinion: Strong Buy Price: 14.80

RE: Wow...x2 1.7m buy trades....

22 Sep '18

Here they are x2:21/09/2018

08:58:10

14.80 1,700,000 251.60k21/09/2018

08:58:37

14.80 1,700,000 251.60

JinkarPosts: 554 Opinion: No Opinion Price: 14.85

RE: Wow...x2 1.7m buy trades....

21 Sep '18

Yes an encouraging trade, only saw 1x1.7m trade though. lively next few months. As stated assessments and offtake announcment will build the SP raise.

AROK1975Posts: 1,022 Opinion: Strong Buy Price: 14.85

Wow...x2 1.7m buy trades....

21 Sep '18

Wonderful....shows assurance or what! GLA


AutoZone 3rd Quarter selfsame Store Sales Decline 0.8%; EPS Increases 6.2% to $11.44 | killexams.com true questions and Pass4sure dumps

May 23, 2017 06:59 ET | Source: Autozone, Inc

MEMPHIS, Tenn., May 23, 2017 (GLOBE NEWSWIRE) -- AutoZone, Inc. (NYSE:AZO) today reported net sales of $2.6 billion for its third quarter (12 weeks) ended May 6, 2017, an increase of 1.0% from the third quarter of fiscal 2016 (12 weeks).  Domestic selfsame store sales, or sales for stores open at least one year, declined 0.8% for the quarter.

Net income for the quarter increased 1.3% over the selfsame term eventual year to $331.7 million, while diluted earnings per partake increased 6.2% to $11.44 per partake from $10.77 per partake in the year-ago quarter.  As previously reported, the Company adopted a fresh accounting criterion on August 28, 2016, related to stock option exercises.  For the quarter, the adoption of the fresh criterion increased EPS by $0.32.  Excluding this adjustment, EPS would acquire increased by 3.2%.

For the quarter, indecent profit, as a percentage of sales, was 52.6% (21 bps deleverage versus the selfsame term eventual year).  The abate in indecent margin was attributable to higher supply chain costs associated with current year inventory initiatives (-28 bps) and higher inventory shrink results (-20 bps), partially offset by lower acquisition costs.  Operating expenses, as a percentage of sales, were 32.4% (25 bps deleverage versus the selfsame term eventual year).  Operating expenses, as a percentage of sales, were higher than eventual year primarily from fixed cost deleverage due to their comparable stores sales decline, higher self-insurance cost and increasing wage pressures, partially offset by favorability from eventual year’s discrete legal suffuse and lower incentive compensation.

Under its partake repurchase program, AutoZone repurchased 396 thousand shares of its common stock for $284 million during the third quarter, at an mediocre charge of $716 per share.  At the intermission of the third quarter, the Company had $1.051 billion remaining under its current partake repurchase authorization.

The Company’s inventory increased 7.3% over the selfsame term eventual year, driven by fresh stores and increased product placement.  Inventory per location was $653 thousand versus $629 thousand eventual year and $665 thousand eventual quarter.  Net inventory, defined as merchandise inventories less accounts payable, on a per location basis, was a negative $47 thousand versus negative $69 thousand eventual year and negative $36 thousand eventual quarter.

“I would like to thank every bit of AutoZoners across the organization for their dedication to serving their customers throughout a very challenging spring sales season.  Their sales performance for the first five weeks of their quarter was significantly below their expectations, challenged by the well-publicized timing delays in IRS tax refunds.  The eventual seven weeks of sales demonstrated improvement, but not enough to build up for their soft start.  While this quarter’s results were below their expectations, their AutoZoners’ ongoing commitment to providing customers with Trustworthy advice has us well positioned for the summer ahead.  Notwithstanding macro headwinds, including increasing wage pressures, they are confident in their long term positive fundamentals for sales growth, and they remain committed to driving shareholder value,” said Bill Rhodes, Chairman, President and Chief Executive Officer.

During the quarter ended May 6, 2017, AutoZone opened 35 fresh stores and relocated two stores in the U.S., opened eight fresh stores in Mexico, and nobody in Brazil.  As of May 6, 2017, the Company had 5,381 stores in 50 states in the U.S., the District of Columbia and Puerto Rico, 499 stores in Mexico, 26 IMC branches, and nine stores in Brazil for a total weigh of 5,915.

AutoZone is the leading retailer and a leading distributor of automotive replacement parts and accessories in the United States. Each AutoZone store carries an extensive product line for cars, sport utility vehicles, vans and light trucks, including fresh and remanufactured automotive hard parts, maintenance items, accessories, and non-automotive products.  Many stores likewise acquire a commercial sales program that provides commercial credit and prompt delivery of parts and other products to local, regional and national repair garages, dealers, service stations, and public sector accounts.  IMC branches carry an extensive line of original rig property import replacement parts.  AutoZone likewise sells the ALLDATA brand diagnostic and repair software through www.alldata.com. Additionally, they sell automotive hard parts, maintenance items, accessories, and non-automotive products through www.autozone.com, and accessories, performance and replacement parts through www.autoanything.com, and their commercial customers can build purchases through www.autozonepro.com and www.imcparts.net.  AutoZone does not derive revenue from automotive repair or installation.

AutoZone will host a conference convene this morning, Tuesday, May 23, 2017, surge at 10:00 a.m. (EDT) to dispute its third quarter results.  Investors may listen to the conference convene live and review supporting slides on the AutoZone corporate website, www.autozoneinc.com by clicking “Investor Relations,” “Conference Calls.”  The convene will likewise subsist available by dialing (210) 839-8923.  A replay of the convene and slides will subsist available on AutoZone’s website.  In addition, a replay of the convene will subsist available by dialing (203) 369-1211 through Tuesday, May 30, 2017, at 11:59 p.m. (EDT).

This release includes unavoidable financial information not derived in accordance with generally accepted accounting principles (“GAAP”).  These non-GAAP measures embrace adjustments to reflect revert on invested capital, adjusted debt, adjusted debt to EBITDAR, and cash current before partake repurchases.  The Company believes that the presentation of these non-GAAP measures provides information that is useful to investors as it indicates more clearly the Company’s comparative year-to-year operating results, but this information should not subsist considered a substitute for any measures derived in accordance with GAAP.  Management targets the Company’s capital structure in order to maintain its investment grade credit ratings and manages cash flows available for partake repurchase by monitoring cash flows before partake repurchases, as shown on the attached tables.  The Company believes this is necessary information for the management of its debt levels and partake repurchases.  They acquire included a reconciliation of this additional information to the most comparable GAAP measures in the accompanying reconciliation tables.

Certain statements contained in this press release are forward-looking statements.  Forward-looking statements typically employ words such as “believe,” “anticipate,” “should,” “intend,” “plan,” “will,” “expect,” “estimate,” “project,” “positioned,” “strategy” and similar expressions. These are based on assumptions and assessments made by their management in light of experience and perception of historical trends, current conditions, expected future developments and other factors that they believe to subsist appropriate. These forward-looking statements are theme to a number of risks and uncertainties, including without limitation: product demand; energy prices; weather; competition; credit market conditions; access to available and feasible financing; the repercussion of recessionary conditions; consumer debt levels; changes in laws or regulations; war and the prospect of war, including terrorist activity; inflation; the ability to hire and retain qualified employees; construction delays; the compromising of the confidentiality, availability, or integrity of information, including cyber security attacks; and raw material costs of their suppliers.  unavoidable of these risks are discussed in more detail in the “Risk Factors” section contained in detail 1A under section 1 of the Annual Report on contour 10-K for the year ended August 27, 2016, and these Risk Factors should subsist read carefully. Forward-looking statements are not guarantees of future performance and actual results; developments and business decisions may differ from those contemplated by such forward-looking statements, and events described above and in the “Risk Factors” could materially and adversely strike their business. Forward-looking statements talk only as of the date made. Except as required by applicable law, they undertake no duty to update publicly any forward-looking statements, whether as a result of fresh information, future events or otherwise. Actual results may materially differ from anticipated results.

      AutoZone's 3rd Quarter Highlights - Fiscal 2017                     Condensed Consolidated Statements of Operations         3rd Quarter, FY2017             (in thousands, except per partake data)                   GAAP Results           12 Weeks Ended   12 Weeks Ended           May 6, 2017   May 7, 2016                     Net sales   $ 2,619,007     $ 2,593,672       Cost of sales     1,240,589       1,223,214       Gross profit     1,378,418       1,370,458       Operating, SG&A expenses     848,848       834,084       Operating profit  (EBIT)     529,570       536,374       Interest expense, net     35,675       34,051       Income before taxes     493,895       502,323       Income taxes (1)     162,195       174,808       Net income   $ 331,700     $ 327,515       Net income per share: (1)               Basic   $ 11.70     $ 10.99         Diluted   $ 11.44     $ 10.77       Weighted mediocre shares outstanding:               Basic     28,358       29,809         Diluted (1)     29,005       30,405                       (1) The Company adopted a fresh accounting criterion on August 28, 2016, that requires excess tax benefits from stock option exercises to subsist recognized in the income statement. The adoption of the fresh criterion increased EPS by $0.32, driven by a lower efficient tax rate of 231 bps, (a $0.40 benefit to EPS), partially offset by a change to the dilutive outstanding shares calculation (a $0.08 reduction to EPS). Prior period's financial information was not restated to conform to the current period’s presentation.                                 Year-To-Date 3rd Quarter, FY2017             (in thousands, except per partake data)   GAAP Results           36 Weeks Ended   36 Weeks Ended           May 6, 2017   May 7, 2016                     Net sales   $ 7,376,071     $ 7,236,907       Cost of sales     3,490,575       3,422,919       Gross profit     3,885,496       3,813,988       Operating, SG&A expenses     2,513,054       2,456,959       Operating profit  (EBIT)     1,372,442       1,357,029       Interest expense, net     103,180       101,893       Income before taxes     1,269,262       1,255,136       Income taxes (2)     422,293       440,897       Net income   $ 846,969     $ 814,239       Net income per share: (2)               Basic   $ 29.57     $ 27.00         Diluted   $ 28.86     $ 26.46       Weighted mediocre shares outstanding:               Basic     28,638       30,159         Diluted (2)     29,349       30,773                       (2) The Company adopted a fresh accounting criterion on August 28, 2016, that requires excess tax benefits from stock option exercises to subsist recognized in the income statement. The adoption of the fresh criterion increased EPS by $0.72, driven by a lower efficient tax rate of 214 bps, (a $0.93 benefit to EPS), partially offset by a change to the dilutive outstanding shares calculation (a $0.21 reduction to EPS). Prior period's financial information was not restated to conform to the current period’s presentation.                                 Selected poise Sheet Information             (in thousands)                   May 6, 2017   May 7, 2016   August 27, 2016                 Cash and cash equivalents   $ 227,141     $ 213,380     $ 189,734   Merchandise inventories     3,861,052       3,597,251       3,631,916   Current assets     4,507,249       4,225,486       4,239,573   Property and equipment, net     3,904,152       3,619,305       3,733,254   Total assets     9,028,264       8,464,105       8,599,787   Accounts payable     4,140,690       3,991,030       4,095,854   Current liabilities     4,793,540       4,647,589       4,690,320   Total debt     5,152,843       4,953,697       4,924,119   Stockholders' deficit     (1,714,214 )     (1,863,282 )     (1,787,538 ) Working capital     (286,291 )     (422,103 )     (450,747 )                            

 

Adjusted Debt / EBITDAR (Trailing 4 Qtrs)               (in thousands, except adjusted debt to EBITDAR ratio)                       May 6, 2017   May 7, 2016           Net income   $ 1,273,737     $ 1,215,376             Add:  Interest     148,968       148,958             Taxes     653,103       661,967             EBIT     2,075,808       2,026,301                                 Add:  Depreciation and amortization     313,920       290,173             Rent expense     294,641       274,660             Share-based expense     40,716       39,759             EBITDAR   $ 2,725,085     $ 2,630,893                                 Debt   $ 5,152,843     $ 4,953,697             Capital lease obligations     151,961       128,870             Add: Rent x 6     1,767,846       1,647,960             Adjusted debt   $ 7,072,650     $ 6,730,527                                 Adjusted debt to EBITDAR     2.6       2.6                                                     Selected Cash current Information                   (in thousands)                       12 Weeks Ended   12 Weeks Ended   36 Weeks Ended   36 Weeks Ended       May 6, 2017   May 7, 2016   May 6, 2017   May 7, 2016                       Depreciation and amortization   $ 75,343     $ 68,529     $ 219,988   $ 203,465   Capital spending     141,831       113,331       357,934     299,922                       Cash current before partake repurchases:                   Increase in cash and cash equivalents   $ 16,492     $ 5,422     $ 37,407   $ 38,071   Increase in debt, excluding deferred financing     5,100       112,400       230,700     330,900   Add back partake repurchases     283,564       532,668       844,183     1,082,725   Cash current before partake repurchases and changes in debt   $ 294,956     $ 425,690     $ 650,890   $ 789,896                                           Other Selected financial Information                   (in thousands, except ROIC)                       May 6, 2017   May 7, 2016                                                   Cumulative partake repurchases ($ since fiscal 1998)   $ 17,598,832     $ 16,384,912             Remaining partake repurchase authorization ($)     1,051,168       765,088                                 Cumulative partake repurchases (shares since fiscal 1998)     141,924       140,312                                 Shares outstanding, intermission of quarter     28,155       29,501                                     Trailing 4 Quarters               May 6, 2017   May 7, 2016           Net income   $ 1,273,737     $ 1,215,376             Adjustments:                   Interest expense     148,968       148,958             Rent expense     294,641       274,660             Tax effect*     (150,383 )     (149,538 )           After-tax return     1,566,963       1,489,456                                 Average debt**     5,035,993       4,737,645             Average stockholders' deficit**     (1,817,540 )     (1,745,470 )           Add: Rent x 6     1,767,846       1,647,960             Average capital lease obligations**     145,749       127,954             Pre-tax Invested capital   $ 5,132,048     $ 4,768,089                                 Return on Invested Capital (ROIC)     30.5 %     31.2 %                                * efficient tax rate over trailing four quarters ended May 6, 2017 is 33.9% and May 7, 2016 is 35.3%. ** every bit of averages are computed based on trailing 5 quarter balances.                     AutoZone's 3rd Quarter Fiscal 2017                       Selected Operating Highlights                                                       Location weigh & Square Footage                                                           12 Weeks Ended       12 Weeks Ended     36 Weeks Ended       36 Weeks Ended     May 6, 2017       May 7, 2016     May 6, 2017       May 7, 2016 AutoZone Domestic stores (Domestic):                           Store count:                           Beginning domestic stores     5,346           5,193         5,297           5,141   Stores opened     35           33         84           85   Stores closed     -           -         -           -   Ending domestic stores     5,381           5,226         5,381           5,226                               Relocated stores     2           1         4           4                               Stores with commercial programs     4,493           4,274         4,493           4,274                               Square footage (in thousands)     35,150           34,094         35,150           34,094                               AutoZone Mexico stores:                           Stores opened     8           7         16           17   Total stores in Mexico     499           458         499           458                               AutoZone Brazil stores:                           Stores opened     -           -         1           1   Total stores in Brazil     9           8         9           8                               Total AutoZone stores     5,889           5,692         5,889           5,692                               Square footage (in thousands)     38,900           37,528         38,900           37,528   Square footage per store     6,606           6,593         6,606           6,593                               IMC branches:                           Branches opened     -           1         -           5   Total IMC branches     26           25         26           25                               Total locations chainwide     5,915           5,717         5,915           5,717                               Sales Statistics                           ($ in thousands, except sales per mediocre square foot)                               12 Weeks Ended       12 Weeks Ended     Trailing 4 Quarters       Trailing 4 Quarters Total AutoZone stores (Domestic, Mexico and Brazil) May 6, 2017       May 7, 2016     May 6, 2017       May 7, 2016 Sales per mediocre store   $ 424         $ 434       $ 1,768         $ 1,785   Sales per mediocre square foot   $ 64         $ 66       $ 268         $ 271                               Total Auto Parts (Domestic, Mexico, Brazil, and IMC)                          Total auto parts sales   $ 2,530,689         $ 2,503,108       $ 10,408,512         $ 10,157,577   % increase vs. LY     1.1 %         4.1 %       2.5 %         6.0 %                             Domestic Commercial (Excludes IMC)                           Total domestic commercial sales   $ 498,575         $ 481,444       $ 2,025,481         $ 1,920,418   % increase vs. LY     3.6 %         6.5 %       5.5 %         9.6 %                             All Other (ALLDATA, E-Commerce, and AutoAnything)                         All other sales   $ 88,318         $ 90,564       $ 366,329         $ 369,734   % increase vs. LY     (2.5 %)         2.3 %       (0.9 %)         2.6 %                                 12 Weeks Ended       12 Weeks Ended     36 Weeks Ended       36 Weeks Ended     May 6, 2017       May 7, 2016     May 6, 2017       May 7, 2016 Domestic selfsame store sales      (0.8 %)         2.0 %       0.2 %         3.0 %                             Inventory Statistics (Total Locations)                               as of       as of                   May 6, 2017       May 7, 2016               Accounts payable/inventory     107.2 %         110.9 %                                           ($ in thousands)                           Inventory   $ 3,861,052         $ 3,597,251                 Inventory per location     653           629                 Net inventory (net of payables)     (279,638 )         (393,779 )               Net inventory  / per location     (47 )         (69 )                                               Trailing 5 Quarters                   May 6, 2017       May 7, 2016               Inventory turns     1.4   x       1.4   x                                         Contact Information: Financial: Brian Campbell at (901) 495-7005, brian.campbell@autozone.com Media: Ray Pohlman at (866) 966-3017, ray.pohlman@autozone.com


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