Jabil Stock Falls Despite Beating Earnings Forecasts and Strong Revenue Guidance
Jabil reported fiscal fourth-quarter results that exceeded Wall Street expectations on all metrics, with revenue of $10.6 billion versus $9.72 billion expected and core earnings per share of $4.40 versus $4.08 projected. The company guided fiscal 2027 revenue to $44.5 billion with 34% core earnings growth, yet shares declined approximately 10% on the announcement. Investor concerns centered on margin expansion of only 30 basis points and minimal growth in adjusted free cash flow despite a 24% increase in projected revenue.
Jabil's inventory levels surged dramatically, climbing from $4.68 billion to $7.41 billion year-over-year, reflecting the significant working capital demands of its rapid expansion. This buildup, combined with only modest improvements to operating profitability, suggests the company is investing heavily in capacity to meet projected demand. The gap between management's fiscal 2027 earnings guidance of $17.55 per share and current Wall Street consensus of $16.92 indicates lingering skepticism about whether the company can deliver on its ambitious targets.
The valuation picture presents a mixed signal to investors. While the stock trades at roughly 16 times management's guided earnings—a reasonable multiple for a company targeting 34% earnings growth—this represents a sharp compression from the 20x multiple on forward estimates prior to the selloff. The persistent challenge remains converting strong revenue growth into proportional cash generation and margin expansion.
The market's reaction to Jabil's results may signal broader investor concerns about the sustainability of AI-driven growth stories in the manufacturing sector. Companies scaling rapidly to capture emerging demand face scrutiny over whether top-line expansion translates into durable profitability and cash returns. For shareholders, employees, and supply-chain partners, this outcome could influence how capital allocates across the tech infrastructure and manufacturing ecosystem, potentially affecting investment in automation and capacity decisions throughout the industry.