Why Jabil Stock Dropped After Earnings: AI Demand, FY2027 Guidance & Valuation

 

Jabil (NYSE: JBL) delivered a quarter that was difficult to fault on September 30. Fourth-quarter revenue and core earnings per share both cleared the top end of guidance, and the fiscal 2027 outlook landed above Wall Street consensus. The share price went the other way. Trading data compiled by GuruFocus shows JBL closing at $286.86, down about 10% on the day, after an intraday decline that at one point exceeded 6%. Yahoo Finance reported that shares were already off around 4% in pre-market trading, which means the selling began before the opening bell.

 

This was not a verdict on the results. It was a repricing of expectations. Shares had climbed close to 48% over the preceding twelve months as the market re-rated the AI infrastructure supply chain, and that run had already written rapid growth into the price. Once a company is valued as a picks-and-shovels play on AI capital spending, a beat is no longer enough on its own; the print has to beat the expectation of a beat. That distinction is the key to the selloff, and it was flagged as the central variable in the earlier Jabil earnings preview.

 

 

 

The fourth quarter beat on every headline line. According to the Form 8-K results release filed with the SEC, revenue reached $10.616 billion, up about 29% year over year, with core diluted EPS of $4.40, up 34%, core operating income of $675 million and a core operating margin of 6.4%.

 

Fiscal 2027 guidance was also strong. Management expects revenue of about $44.5 billion, up 24%, core operating margin expansion of 30 basis points to 6.1%, core diluted EPS of $17.55, up roughly 34%, and adjusted free cash flow of about $1.6 billion.

 

AI infrastructure is the growth engine. AI-related revenue reached approximately $14.4 billion in fiscal 2026, an increase of $5.4 billion year over year, and is guided to about $22.1 billion in fiscal 2027, up 54%.

 

The fall sits on the expectations side of the ledger, not the results side. Expectations were already high after a near-48% twelve-month run and a trailing multiple far above the historical range, and the guidance carries back-end loaded margins, memory supply constraints and a large capacity ramp.

 

Cash generation and buybacks provide a floor. Adjusted free cash flow was $1.532 billion in fiscal 2026, roughly $1.1 billion of stock was repurchased during the year, and about $1.4 billion remained under a new $1.5 billion authorization at year-end.

 

 

 

For the quarter ended August 31, 2026, the results release reports net revenue of $10.616 billion against $8.252 billion a year earlier, GAAP operating income of $602 million, GAAP diluted EPS of $3.76, core operating income of $675 million and core diluted EPS of $4.40. Against the consensus figures compiled by AlphaStreet, which called for $4.06 in EPS on $9.69 billion of revenue, the company came in 8.3% and 10.4% ahead respectively.

 

Chief Executive Mike Dastoor said in the release that the quarter exceeded the company's own expectations, that teams supported significant growth in AI infrastructure, delivered strong performance across several other end markets and brought critical new capacity online.

 

 

Fiscal 2026 net revenue totaled $35.954 billion against $29.802 billion a year earlier, with GAAP diluted EPS of $9.75, core operating income of $2.069 billion and core diluted EPS of $13.09. Core operating margin expanded 40 basis points to 5.8%. The cash flow statement shows $2.002 billion of cash from operations, translating into adjusted free cash flow of $1.532 billion after net capital expenditures, up from $1.318 billion in fiscal 2025.

 

The full earnings call transcript published by Benzinga shows management noting that core operating margin has risen from 3.2% in fiscal 2020 to 5.8%, which together with the repurchase program has compounded core EPS at roughly 29% annually, and that the company converted approximately 110% of core net earnings into cash last year. Jabil ended the year with about $1.7 billion of cash and debt to core EBITDA of 1.3 times.

 

 

The fiscal 2027 outlook calls for revenue of about $44.5 billion, a 6.1% core operating margin, core diluted EPS of $17.55 and adjusted free cash flow of approximately $1.6 billion. First-quarter guidance is $10.6 billion to $11.4 billion of revenue with core EPS of $3.80 to $4.20. Benzinga's coverage notes that both figures sit above the prior analyst estimates of $42.64 billion for the year and $9.942 billion for the quarter. The company, in other words, set a bar for the new year that already cleared the Street's.

 

 

 

The segment detail is the most persuasive part of the release. Benzinga's segment breakdown shows Intelligent Infrastructure revenue of about $5.8 billion in the fourth quarter, up 56% and roughly $900 million above the company's June outlook, with segment core operating margin up 60 basis points to 6.5%. Management attributed the upside to stronger AI demand, an earlier-than-planned capacity ramp, a second hyperscaler program in Mexico and networking strength in India. Regulated Industries revenue rose 9% to $3.4 billion at a 5.8% margin, while Connected Living and Digital Commerce was roughly flat at $1.4 billion with a 7.1% margin.

 

 

On the call, management disclosed fiscal 2026 AI-related revenue of approximately $14.4 billion, an increase of $5.4 billion year over year, with segment revenue up more than 40% and AI-related revenue up 60%. The company ended the year with four customers each generating more than $1 billion of annual AI-related revenue, up from a single such customer two years earlier.

 

For fiscal 2027, Jabil expects Intelligent Infrastructure revenue of about $25.6 billion, up roughly 43%; AI-related revenue of about $22.1 billion, up 54%; cloud and data center infrastructure revenue of about $17.5 billion, up 52%; capital equipment revenue of about $4.2 billion, up roughly 40%; and networking and communications revenue of about $3.9 billion, up 15%. Five customers are expected to exceed $1 billion in AI-related revenue and six segment customers to exceed $1 billion in total revenue. Across all three segments, management said the company anticipates adding in excess of $8.5 billion of revenue in fiscal 2027, after adding more than $6 billion in fiscal 2026.

 

 

The quality of this cycle differs from earlier electronics manufacturing upcycles. Jabil's cloud and data center work now extends beyond assembly into compute, power and liquid cooling, which is why segment margins expanded even as revenue grew at this pace. Management noted on the call that gross margin has improved more than 200 basis points since fiscal 2020 to 9.2% and that core return on invested capital has nearly tripled since fiscal 2020 to about 59%. For a company long treated as a low-margin contract manufacturer, those figures are the foundation of a different valuation framework.

 

 

 

The simplest explanation is that the good news had been bought in advance. Trading figures cited by Blockonomi show JBL up nearly 48% over the trailing twelve months and about 34% year to date. A stock arriving at an earnings date with that record is not priced against published consensus but against the more aggressive numbers buy-side investors carry internally. Beating revenue consensus by 10.4% looks substantial, but if long positions were underwriting a larger guidance raise, the actual result becomes a reason to sell.

 

GuruFocus valuation data puts the trailing twelve-month price-to-earnings ratio at roughly 35.8 times, against a five-year median of 14.36 times. At that level of multiple expansion, the market has very little tolerance for execution slippage.

 

 

The second reason sits inside the shape of the guidance. Call highlights compiled by GuruFocus show management describing fiscal 2027 revenue as roughly 45% first half and 55% second half, with margins more back-end loaded because new capacity ramps bring initial costs such as yield, training and additional expenses. The 6.1% full-year target therefore requires a second half meaningfully above the first. For investors accustomed to linear delivery, that profile is itself a risk.

 

Management also plans to add roughly 4 million square feet of capacity in fiscal 2027, with capital expenditure intensity rising from 1.3% of revenue to a guided 1.5% to 2%. In the near term, those investments show up as cost before they show up as revenue.

 

 

The third reason is the supply chain. Benzinga's coverage quotes management saying memory in particular is being reallocated toward AI and hyperscale demand, tightening supply across many of the diversified end markets the company serves, and describing the pressure as a structural shift in global supply. The company said it remains conservative around memory constraints in building its outlook. Net inventory days stood at 64, still above the 55 to 60 day target range. StockStory's record of the session notes shares fell 6.5% in morning trading. Separately, the Connected Living business inside Intelligent Devices and Robotics is expected to decline 15% in fiscal 2027 on deliberate exits and the de-emphasis of lower-margin programs, a subtraction that belongs in any read of the headline growth rate.

 

 

 

At the $286.86 close and the $17.55 fiscal 2027 core EPS guide, the forward multiple works out to roughly 16.3 times; on fiscal 2026 core EPS of $13.09, it is about 21.9 times. Using the 106.0 million diluted shares from the fourth quarter, market capitalization sits near $30 billion. The gap between those figures and the 35.8 times trailing ratio reflects the fact that the trailing number is built on lagging GAAP earnings rather than on how the market is underwriting the year ahead.

 

That leaves a tension worth stating plainly. If the company delivers its guidance, the current price does not look demanding. But the guidance depends on AI-related revenue growing another 54%, on new capacity ramping cleanly and on memory supply not deteriorating further. What the market priced on earnings day was the probability of those conditions holding, not the outcome if they do.

 

 

Capital return is the part of this report most easily buried by the price move. Adjusted free cash flow of $1.532 billion in fiscal 2026 compares with $1.318 billion a year earlier, and the cash flow statement shows $1.060 billion of payments to acquire treasury stock during the year. Yahoo Finance's summary of the call reports approximately $1.1 billion of repurchases in fiscal 2026, including $169 million in the fourth quarter, with about $1.4 billion remaining under the $1.5 billion authorization approved in July. The roughly $1.6 billion of adjusted free cash flow guided for fiscal 2027 is what funds the rest of it.

 

For a shrinking share count, a lower price raises the number of shares each repurchase dollar retires. That is not a guarantee about where the stock goes next, but it does explain why long-horizon holders tend to treat this kind of drawdown as noise rather than as a change in the thesis, absent a structural problem.

 

If you want AI supply chain equities and crypto markets side by side in one account, see the JBL market page on MEXC and trade it with USDT settlement.

 

 

Whether AI-related revenue tracks toward the $22.1 billion full-year target quarter by quarter is the single most important variable. Five customers are expected to clear $1 billion in AI-related revenue, which delivers scale and concentration at the same time, leaving Jabil exposed to shifts in any one customer's capital spending cadence.

 

The margin path matters almost as much. Management has built the 6.1% full-year target on a materially better second half, which makes the first and second quarter core operating margins the first real test of the guide's credibility. Executives said on the call that they will try to outperform 6.1%, leaving room for upward revision, but it also means any quarter that falls below the implied path will be read loudly.

 

On the supply side, whether memory availability tightens further and whether inventory days return to the 55 to 60 day target range will shape both delivery schedules and working capital. Tariffs, export controls and currency swings remain permanent features of a globally distributed manufacturing footprint. Investors taking equity exposure through tokenized stocks and similar instruments should additionally note the differences in trading hours, settlement mechanics and product terms.

 

 

For James Mitchell, the lasting lesson of this selloff is the mechanism it exposes, one that keeps recurring in this cycle. Once a stock is absorbed into the AI infrastructure narrative, its pricing benchmark shifts from published consensus to the distribution of buy-side expectations. Revenue 10.4% above consensus is a win on the page and can still be a loss in the tape, because what gets priced is never the absolute number but the direction and size of the surprise. A near-48% twelve-month advance is itself an unwritten guide, and that is what the print had to beat, not the $9.69 billion figure everyone could see.

 

Two readings look most likely to be wrong. The first treats the drawdown as evidence of deteriorating fundamentals. Revenue up 29%, segment margins expanding, $1.532 billion of adjusted free cash flow and roughly 110% cash conversion are not the signature of a cycle rolling over. The second treats 35.8 times trailing earnings as the valuation conclusion. Against the $17.55 fiscal 2027 core EPS guide, the current price sits near 16.3 times forward, which for a company targeting 24% revenue growth already embeds a discount for execution risk. The risk is not the multiple itself; it is the back-end loaded margin curve inside the guidance.

 

The two things most worth tracking are both verifiable with quarterly data. The first is the gap between first-half core operating margin and the 6.1% annual target. Management has said revenue splits roughly 45% and 55% with margins more back-end loaded, so the early quarters do not need to hit the target, but the rate at which the gap closes has to match the capacity ramp management described. The second is net inventory days, currently 64 against a 55 to 60 day target. In an environment where memory is being reallocated to AI and hyperscale demand, elevated inventory days can reflect either deliberate buffering or impeded delivery, and the free cash flow implications of those two readings are entirely different.

 

Viewed across assets, this report points to a broader observation. The beneficiaries of the AI capital spending cycle are broadening from silicon into systems, power and cooling, and re-rating tends to run ahead of delivered earnings. That makes the pattern of strong results met with falling prices more common along this chain, not less, because the repricing has already happened. For investors who hold both equities and digital assets, the logic rhymes with what happens when a token sells off on confirmed good news: once the narrative is fully priced, trading shifts from the facts to the marginal change in expectations. None of this implies any certainty about where the price goes next.

 

 

 

Because the pressure came from expectations rather than results. Fourth-quarter revenue of $10.616 billion and core EPS of $4.40 both beat consensus, and fiscal 2027 guidance landed above Street estimates, but the shares had already risen close to 48% over twelve months at a trailing price-to-earnings ratio of 35.8 times against a five-year median of 14.36 times. Back-end loaded margins, capacity ramp costs and memory constraints gave holders a reason to take profits, and the stock closed around 10% lower at $286.86.

 

 

Revenue reached $10.616 billion, up about 29% and ahead of the $9.69 billion consensus. Core diluted EPS came in at $4.40, up 34% and ahead of the $4.06 consensus, on core operating income of $675 million and a 6.4% core operating margin. For the full fiscal year, revenue was $35.954 billion, up 21%, with core EPS of $13.09 and core operating margin up 40 basis points to 5.8%.

 

 

Management expects fiscal 2027 revenue of about $44.5 billion, up 24%, core operating margin expanding 30 basis points to 6.1%, core diluted EPS of $17.55, up roughly 34%, and adjusted free cash flow of approximately $1.6 billion. First-quarter guidance calls for revenue of $10.6 billion to $11.4 billion and core EPS of $3.80 to $4.20, both above the analyst estimates at the time.

 

 

AI-related revenue was approximately $14.4 billion in fiscal 2026, an increase of $5.4 billion year over year and roughly 40% of the $35.954 billion total. For fiscal 2027 the company guides to about $22.1 billion, up 54%, with cloud and data center infrastructure at roughly $17.5 billion. Intelligent Infrastructure as a whole is expected to reach about $25.6 billion, up roughly 43%.

 

 

Management said memory is being reallocated toward AI and hyperscale demand, tightening supply across several of the diversified end markets the company serves, and characterized the shift as structural rather than temporary. The company said it stayed conservative on memory availability when building fiscal 2027 guidance. Net inventory days of 64 remain above the 55 to 60 day target range, which makes the trend worth following.

 

 

Jabil repurchased approximately $1.1 billion of stock in fiscal 2026, including $169 million in the fourth quarter, with $1.060 billion of treasury stock purchases recorded in the cash flow statement. A new $1.5 billion authorization approved in July had about $1.4 billion remaining at year-end, and the roughly $1.6 billion of guided fiscal 2027 adjusted free cash flow is the funding source for continued repurchases.

 

 

It depends which measure you use. On trailing GAAP earnings the multiple is about 35.8 times, well above the five-year median of 14.36 times. On the $17.55 fiscal 2027 core EPS guide, the forward multiple is roughly 16.3 times. The spread between the two is the point: the valuation question turns on whether the guidance is delivered, not on the historical multiple by itself.

 

 

The information above is provided for general market information and analysis only and does not constitute investment advice, financial advice, legal advice, tax advice or a recommendation to trade. Prices of equities, crypto assets and other related financial assets can fluctuate sharply, and past performance, technical indicators and on-chain data do not guarantee future results. The financial figures, company guidance, consensus estimates and share price levels referenced here may change at any time, and the company's formal regulatory filings and latest official disclosures should be treated as authoritative. Forward-looking statements carry their own risk of not being realized. Readers should conduct their own research and make decisions based on their own financial circumstances, investment objectives and risk tolerance, consulting a qualified professional where appropriate. The MEXC Crypto Pulse team accepts no liability for any direct or indirect loss arising from the use of this information.

 

 

James Mitchell specializes in technical analysis, market trends, and trading strategies for both Bitcoin and altcoins. Based in London, he has over 10 years of experience in financial markets. Before joining MEXC Learn, James worked as a senior analyst at a leading European investment firm, where he developed expertise in risk management and quantitative trading. His transition to cryptocurrency markets began in 2017, and he has since become recognized for his data-driven approach. He holds a Master's degree in Financial Economics from the London School of Economics. His analytical approach combines traditional technical analysis with on-chain metrics to provide readers with actionable insights.

 

Areas of Expertise: Technical Analysis, Market Trends & Cycles, Trading Strategies, Bitcoin & Altcoin Analysis, Risk Management.

 

 

 

Want the fastest access to MEXC's latest updates? Join our official Telegram group now!

MEXC Platform: Download App | Zero Fee Trading | Buy USDT Now

Join MEXC Community: X (Twitter) | Telegram | Discord

Get Insights: MEXC Learn | Terms of Service | MEXC Blog | MEXC News

Account Verification: Understand KYC | How to Complete KYC

External Content Platforms: Substack | Medium | Paragraph | LinkedIn | X(News)