Qualcomm Incorporated QCOM is scheduled to report first-quarter fiscal 2026 earnings on Feb. 4. The Zacks Consensus Estimate for revenues and earnings is pegged at $12.23 billion and $3.37 per share, respectively. Over the past 60 days, earnings estimates for QCOM for fiscal 2026 have declined 1.2% to $12.00 per share, while the same for fiscal 2027 has decreased from $12.60 per share to $12.33. Q...
Qualcomm Incorporated QCOM is scheduled to report first-quarter fiscal 2026 earnings on Feb. 4. The Zacks Consensus Estimate for revenues and earnings is pegged at $12.23 billion and $3.37 per share, respectively. Over the past 60 days, earnings estimates for QCOM for fiscal 2026 have declined 1.2% to $12.00 per share, while the same for fiscal 2027 has decreased from $12.60 per share to $12.33. QCOM Estimate Trend Zacks Investment Research Image Source: Zacks Investment Research Earnings Surprise History The chip manufacturer delivered a four-quarter earnings surprise of 6%, on average, beating estimates on each occasion. In the last reported quarter, the company pulled off an earnings surprise of 4.2%. Zacks Investment Research Image Source: Zacks Investment Research Earnings Whispers Our proven model does not predict an earnings beat for Qualcomm for the fiscal first quarter. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy), or 3 (Hold) increases the chances of an earnings beat. This is not the case here. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter. Qualcomm currently has an ESP of -0.42% with a Zacks Rank #4 (Sell). You can see the complete list of today’s Zacks #1 Rank stocks here. Factors Shaping the Upcoming Results During the fiscal first quarter, Qualcomm launched AI200 and AI250 chip-based AI accelerator cards and racks. The leading-edge AI inference optimized solutions for data centers are powered by Qualcomm’s NPU (Neural Processing Unit) technology. Both AI 200 and AI 250 solutions incorporate confidential computing to secure AI workloads, and their direct-cooling features ensure thermal efficiency. Their high memory capacity, affordability, exceptional scale and flexibility for AI inference make them ideal for modern AI data center requirements. This is likely to have generated incremental revenues in the quarter. In the fiscal first quarter, the company also in...