Q3 Earnings Beats for Meta, Tesla, IBM and T.I.

Meta, Tesla, IBM and Texas Instruments all beat Q3 earnings estimates. Meta reported record quarterly revenue of $64.6B, up 26% year over year, raised current-quarter revenue guidance to $73–76B and projected $135–145B in additional AI infrastructure capex; its shares rose 3.9% in late trading despite a $10B charge tied to a multi-state settlement. Tesla shares gained 1.4% after earnings and revenue beats, while IBM rose 3.5%; Texas Instruments beat estimates but traded marginally lower. Meta also announced a 2-for-1 stock split, and Tesla reported 67% year-over-year growth in Full-Service Driving subscriptions to 1.74M.

Analysis

The useful signal is not the headline beat count but the divergence between near-term revenue visibility and the cost of sustaining growth. META’s raised sales outlook supports ad-demand resilience, but the larger underwriting question is whether AI infrastructure spend earns returns quickly enough to offset depreciation, power and networking costs. The stated capex figure needs its period and baseline verified before modeling incremental cash outflow; a stock split has no fundamental effect. The settlement charge also makes reported EPS a poor guide to underlying year-over-year earnings momentum.

For TSLA, a better auto gross-margin result and subscription growth are more economically relevant than robotaxi miles or starting Optimus production: neither milestone establishes utilization, regulatory clearance, or attractive unit economics. Musk-related geopolitical headlines can create a governance/reputational discount across TSLA even where the event is not a Tesla operating issue. IBM’s beat is comparatively modest against its 4–5% growth outlook; monitor whether software/infrastructure strength translates into recurring growth rather than treating a small consensus beat as re-acceleration. TXN’s post-earnings fade after a large year-to-date advance suggests expectations matter more than the beat; analog demand recovery still needs confirmation across orders and inventory.

Over days, post-close strength may extend but is vulnerable to guidance parsing. Over 1–3 months, META’s capex and ad trends, TXN’s analog orders, and TSLA margin quality are the key tests. Over 6–18 months, AI returns and data-center power/supply constraints are the central META risk and opportunity. The broad “clean sweep” framing may overstate signal: beats versus consensus do not establish durable earnings breadth.

Key Decisions for Investors

• Prefer a measured long META over chasing the entire tech earnings cohort. Add only if the revenue outlook holds and the market can reconcile capex with cash generation; trim or reverse if capex rises without improving ad monetization or if operating cash conversion deteriorates. Verify the capex period and baseline before updating estimates.
• Do not buy TSLA on robotaxi/Optimus milestones alone. Track auto gross margin excluding credits, subscription revenue quality, and regulatory progress; a reversal in margin or evidence that autonomy timelines are slipping would falsify the improvement case. Treat Musk-related headlines as a sentiment and governance risk, not proof of Tesla operational exposure.
• Avoid chasing TXN after its substantial year-to-date run. Watch order trends, inventory and forward analog guidance over the next 1–3 months; consider a relative-value position versus analog peers only after checking valuation and estimate revisions, since the article supplies neither.
• For IBM, maintain a watchlist stance rather than extrapolating one quarter: require sustained software growth and confirmation of the full-year outlook before paying for re-acceleration. A guidance cut or slowing recurring software demand would negate the constructive read.