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The earnings call summary indicates strong financial performance with growth in core services and cloud gross profit. The increase in gross margin and adjusted EPS, along with disciplined expense management, are positive indicators. The Q&A section highlights potential risks with memory costs and partner program changes but also shows confidence in AI growth and strategic partnerships. The positive guidance for 2026 and strategic acquisitions further support a positive outlook. Despite some uncertainties, the overall sentiment is positive, suggesting a likely stock price increase of 2% to 8%.
The earnings call presents a mixed picture. Financial performance shows some positive signs like increased EPS and cloud profit, but overall revenue decreased, and macroeconomic uncertainties persist. The Q&A reveals concerns about project delays and cautious capital allocation. Share repurchases are ongoing, but acquisitions may dilute EPS short-term. The market strategy around AI and acquisitions is promising, but execution risks remain. Given the balanced pros and cons, the stock reaction is likely to be neutral.
The earnings call presents a mixed picture: while there are positive developments like the SADA initiative and cloud growth, there are also challenges such as a decline in gross profit and increased debt. The Q&A reveals cautious optimism but lacks clarity on future margins. The market reaction is likely to be neutral as the positives and negatives balance each other out.
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.