Blaize (NASDAQ:BZAI) Releases Quarterly Earnings Results, Misses Expectations By $0.01 EPS

Blaize (NASDAQ:BZAI) released its quarterly earnings results on Thursday, August 13th. The company reported ($0.21) earnings per share for the quarter, missing analysts’ consensus estimates of ($0.20) by ($0.01), Zacks reports. Blaize had a negative net margin of 160.85% and a negative return on equity of 306.51%. The company had revenue of $11.99 million during the quarter.

Here are the key takeaways from Blaize’s conference call:

• 2026 revenue guidance was cut sharply to $40 million–$43 million from $130 million, as several pilots did not convert, customer deployments were delayed, and memory costs rose materially.
• Blaize reported a signed agreement covering 2,000 servers worth approximately $70 million at current memory prices, with about $50 million expected to remain in backlog entering 2027; management projects 2027 revenue could reach 2.5–3 times the 2026 guidance.
• Second-quarter gross margin fell to 8% from 58% in the prior quarter because sales were weighted toward lower-margin third-party hardware. Full-year adjusted EBITDA loss guidance is now $62 million–$65 million, while the company also recorded a $7.1 million provision for the Starshine receivable.
• Revenue increased to $12 million in Q2 from $2.7 million in Q1, driven largely by NeoTensor, while Europe generated its first purchase order and activity expanded across Asia-Pacific. Several national-scale hybrid AI and data-center opportunities remain active but are excluded from current guidance, with some potentially contributing beginning in Q1 2027.

Blaize Trading Up 3.4%

Shares of NASDAQ:BZAI traded up $0.02 during trading on Friday, hitting $0.48. 1,553,646 shares of the company’s stock were exchanged, compared to its average volume of 6,005,689. The firm has a 50-day moving average price of $0.65 and a two-hundred day moving average price of $1.25. The firm has a market cap of $69.52 million, a P/E ratio of -0.71 and a beta of 0.08. Blaize has a 1-year low of $0.42 and a 1-year high of $6.76.

Analysts Set New Price Targets

Several equities analysts have recently commented on BZAI shares. DA Davidson restated a “neutral” rating and set a $1.00 price target (down from $3.00) on shares of Blaize in a report on Friday, August 14th. Weiss Ratings reiterated a “sell (e+)” rating on shares of Blaize in a research note on Monday, September 21st. B. Riley Financial cut their price objective on Blaize from $4.00 to $2.00 and set a “buy” rating for the company in a research report on Friday, August 14th. Finally, Rosenblatt Securities restated a “buy” rating and set a $2.00 target price on shares of Blaize in a research note on Thursday. Three equities research analysts have rated the stock with a Buy rating, two have issued a Hold rating and one has assigned a Sell rating to the stock. According to MarketBeat, the stock presently has a consensus rating of “Hold” and a consensus target price of $2.38.

Insider Transactions at Blaize

In related news, Director Anthony Cannestra sold 50,000 shares of the company’s stock in a transaction on Monday, July 6th. The shares were sold at an average price of $1.35, for a total value of $67,500.00. Following the completion of the sale, the director owned 50,000 shares in the company, valued at $67,500. This represents a 50.00% decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is available at this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Corporate insiders own 17.40% of the company’s stock.

About Blaize

Blaize, Inc is an artificial intelligence computing company that develops hardware and software for running AI applications at the edge. Its technology is designed to process data locally on devices and systems, reducing the need to send information to centralized cloud infrastructure and supporting applications that require low latency, lower power consumption, or enhanced data privacy.

The company’s offerings include purpose-built edge AI processors, embedded computing platforms, and software tools for developing and deploying machine-learning models.