Meta vs. Lam Research: Why stocks fell 7% and 12% after earnings

Meta Platforms and Lam Research fell sharply on Thursday, October 22, after earnings exposed different pressures in the artificial-intelligence economy. Meta closed down 6.98% at $648.85, while Lam lost 11.76% to $230.15. Both reported higher September-quarter revenue, but growth alone did not protect their shares.

The more useful comparison is what happened to the cash. TECHi’s calculations from the companies’ results show Meta generated more operating cash per revenue dollar, yet its investment bill exceeded that cash inflow. Lam retained substantially more of its operating cash after capital spending, while warning that supply constraints limited its outlook. That separates the company building AI services from a supplier of the equipment needed to manufacture chips.

Article Brief

Key Takeaways

4 Points24s Read

• 01The market reaction–Lam’s percentage decline exceeded Meta’s by 4.78 percentage points at Thursday’s close.
• 02The original cash comparison–Meta’s investment outflow consumed 106.5% of operating cash flow; Lam’s reported capital expenditure consumed 7.4%, using different company definitions.
• 03Different execution risks–Meta must turn rising AI use into returns on heavy spending. Lam must translate equipment demand into deliveries despite constraints.
• 04Beyond AI–Meta’s potential financing choices and separate legal exposures also matter; the entire share-price move cannot be attributed to one cause.

Stock Analysis’s Meta history and Lam Research price table provide the following regular-session comparison. Prices are in U.S. dollars at the October 22 close, 4 p.m. EDT; after-hours trading is excluded. Friday’s regular session had not opened when this analysis was prepared.

October 22 regular-session moves

Measure	Meta (META)	Lam Research (LRCX)
October 21 close	$697.52	$260.81
October 22 close	$648.85	$230.15
Dollar change	−$48.67	−$30.66
Percentage change	−6.98%	−11.76%
Trading volume	40.61 million	23.00 million

Lam suffered the larger proportional loss even though Meta lost more dollars per share. Neither a lower share price nor a steeper one-day fall establishes better value: that requires the earnings, cash generation and risks behind each share. The important question after these results is which business can convert AI demand into cash that remains available after investment.

The cash-flow comparison behind the selloff

Meta’s earnings reconciliation and Lam’s quarterly financial statements allow a direct reconstruction of their September-quarter cash flows. The periods end three days apart, making this a recent operating comparison, although their spending definitions are not identical.

September-quarter cash generation and investment

Measure	Meta: ended September 30	Lam: ended September 27
Revenue	$64.601 billion	$8.219 billion
Operating cash flow	$32.786 billion	$3.498 billion
Operating cash per $1 of revenue	50.8 cents	42.6 cents
Reported investment outflow	$34.906 billion	$257.697 million
Investment / operating cash flow	106.5%	7.4%

Meta’s investment figure includes purchases of property and equipment plus principal payments on finance leases. Lam’s line includes capital expenditures and intangible assets. These are company-specific cash-flow measures, not a standardized assessment of all costs associated with AI.

Subtracting the investment figures leaves Meta with negative $2.120 billion, matching its reported free cash flow, and Lam with approximately $3.240 billion. Meta therefore led on cash generated per sales dollar, while Lam led on cash remaining after the specified investment outflows.

That distinction matters because rapid revenue growth can coexist with rising financing needs. It does not prove Meta’s spending will fail or Lam’s investment requirements will remain low. It identifies the current burden each business must justify through future returns, rather than treating every AI-linked company as the same trade.

Meta’s main earnings call described a functioning advertising engine: ad impressions increased 10% and average price per ad rose 14% year over year. Management linked its performance to improvements in recommendations and advertising tools. Those operating gains are real evidence to weigh against the cash outflow.

The new AI opportunity remains less mature. Meta said Muse had reached 10 million accounts in the United States and Canada, with about 25% using it daily. Those are management-reported adoption figures, not evidence that the service has become a meaningful profit contributor.

On the follow-up call, executives said subscriptions were the current monetization route. Transactions would require sufficient user and partner scale, while a tenfold cost-efficiency ambition depended on further technical progress. Investors should distinguish the size of that ambition from improvements already achieved.

The tension is straightforward: adoption can make a product strategically important before it pays for the infrastructure supporting it. For Meta, stronger usage becomes more persuasive financially when revenue per user and the cost of serving that user improve together. A growing audience alone does not answer how quickly investment will earn a return.

Lam: strong cash generation, constrained deliveries

Lam reported approximately $8.22 billion of quarterly revenue and a 40.0% GAAP operating margin. Its December-quarter revenue outlook was $8.6 billion, plus or minus $400 million. That forecast still leaves a substantial business to execute, but management said it could have been stronger.

On Lam’s earnings call, chief financial officer Doug Bettinger said guidance would have been higher without supply constraints. He declined to endorse an analyst’s proposed estimate of the revenue affected. The question therefore cannot be converted into a company forecast for missing sales.

Regional exposure adds another variable. China represented 35% of September-quarter revenue, and management expected a lower percentage in December. A change in that mix can alter the growth picture even when overall demand remains strong.

Lam’s investor presentation projected wafer-fabrication-equipment spending above $200 billion in 2027 and identified cleanroom and component constraints. That is management’s industry forecast, not contracted Lam revenue. The distinction is particularly relevant when customers’ desire to expand exceeds their ability to prepare facilities or obtain equipment.

Lam’s cash position after investment gives it more immediate flexibility on this comparison. The counterargument is that attractive cash generation cannot compensate indefinitely for delayed shipments. Investors need evidence that capacity constraints are easing and equipment is reaching customers, rather than simply a larger industry opportunity.

Financing choices and legal risk complicate the comparison

Meta’s approved nonvoting Class C share structure introduces a financing issue beyond the quarterly numbers. In the follow-up discussion, management’s reference to hundreds of billions of dollars concerned theoretical issuance capacity while preserving founder control. It was not an announced fundraising plan or cash already raised. Any actual issuance would need its own assessment of proceeds and dilution.

The balance sheets also differ. Meta reported $82.4 billion in cash and marketable securities and $83.7 billion of debt on its earnings call. Lam reported approximately $7.45 billion in cash, cash equivalents and restricted cash, against $3.74 billion of debt and finance-lease obligations. Those definitions differ, so the figures should not be treated as an identical net-debt calculation.

Lam also used about $1.02 billion for treasury-stock purchases, including excise-tax payments, and $325 million for dividends. Cash generated after capital spending is not the same as cash retained: shareholder distributions are another allocation decision alongside capacity investment.

Meta’s legal exposures require separate treatment. Its quarterly $9.89 billion charge is distinct from the New Mexico attorney general’s announced $25 billion civil penalty. TECHi’s coverage of that judgment reports Meta’s plans to appeal. An accounting charge, court award and eventual cash payment are different events; neither should be mechanically added to this quarter’s investment outflow.

What to watch on October 23

Friday’s session will provide the next market checkpoint. For Meta, watch evidence of AI monetization and serving-cost improvements, alongside financing and legal developments. For Lam, watch delivery capacity, regional demand and execution against December guidance.

On these results, Lam has the advantage in cash remaining after reported investment, while Meta generates more operating cash per revenue dollar. Whether either advantage persists depends on execution. A rebound in the share price alone would not settle that question.