[ad_1]
Multiple investment firms boosted Nvidia (NVDA) stock price targets ahead of its Aug. 27 earnings report, with analyst expectations showing strong momentum. According to a report from Seeking Alpha, KeyBanc raised its NVDA stock price target to $215 from $190, Susquehanna increased it to $210 from $180, and HSBC hiked it to $200 from $125.
For fiscal 2026 (ending in January), analysts forecast revenue of $202.44 billion, while the top-line for 2027 is projected at $259.36 billion, up from $130.5 billion in fiscal 2025. Current quarter expectations call for $45.97 billion in revenue, representing 53% year-over-year growth. Earnings per share are expected to increase to $1.01 per share in fiscal Q2 of 2026, up from $0.68 per share last year.
However, China uncertainties loom large. KeyBanc expects guidance excluding direct China revenue due to pending license approvals, though inclusion could add $2-3 billion. HSBC notes the artificial intelligence (AI) GPU market exceeded expectations but warns of China-related risks, including lower pricing and potential pushback from Chinese authorities.
In fiscal Q1, Nvidia reported revenue of $44 billion, an increase of 69% year-over-year (YoY), showcasing the company’s commanding position in the AI revolution that’s reshaping global computing infrastructure. Nvidia’s multi-platform strategy positions it perfectly for sustained long-term growth across several expanding markets.
The transition to NVIDIA’s Blackwell architecture has been remarkable, contributing nearly 70% of Data Center compute revenue with the fastest product ramp in company history. Major hyperscalers are deploying almost 1,000 NVL72 racks weekly, equivalent to 72,000 Blackwell GPUs per week.
This massive scale demonstrates both customer confidence and NVIDIA’s manufacturing excellence. Microsoft (MSFT) alone has deployed tens of thousands of Blackwell GPUs and plans to scale to hundreds of thousands of GB200s.
The emergence of reasoning AI models has fundamentally changed the compute landscape. Microsoft processed over 100 trillion tokens in Q1, a fivefold YoY increase. DeepSeek and similar reasoning models generate 13 times more tokens than traditional AI models, creating exponential inference demand. NVIDIA’s GB200 NVL72 delivers 30 times higher inference throughput, making it the ideal platform for this compute-intensive workload.
[ad_2]
Source link