Live: Figma Up 6% Ahead of Q1 Earnings Tonight - Will Q1 Results Drive a Rebound for $FIG?

"Investors are watching Figma ( NYSE:FIG) ahead of first-quarter results due after the close today, Thursday, May 14, at 4:05 PM EST. The bar is unusually high tonight with the stock up 6% today."

"Figma stock is down 83.6% over the past year and has fallen 49.32% year to date, even as the underlying business continues to grow. Q4 2025 revenue rose 40% year over year, and full-year 2025 revenue cleared $1.056 billion with gross margins of 84.76%. The pain came elsewhere, with a $1.1 billion FY2025 net loss, largely tied to IPO stock-based compensation, the January 27 release of 59 million Class B shares, and a class-action investigation into post-IPO disclosures."

"I will be watching three things tonight. First, AI economics. Management has flagged higher AI and infrastructure spending that will compress near-term operating margins. With operating margin already at -64.4% on a TTM basis, investors will look to see whether incremental AI revenue is scaling faster than inference costs. Second, competitive posture. Google's Nano Banana 2 Gemini upgrade sharpened concerns about pricing power in design tooling."

"Third, guidance and tone. It would be nice to see a clear Q2 revenue range and a full-year framework that shows the expected AI margin drag and expected growth. Overseas revenue was called out as a key contributor to Q4 growth, and CFO Praveer Melwani's commentary on enterprise expansion will also be important for the stock."

Figma is set to report first-quarter results after the close on May 14, with the stock up 6% that day. The shares have fallen sharply over the past year and year to date despite continued business growth. Q4 2025 revenue rose 40% year over year, and full-year 2025 revenue exceeded $1.056 billion with gross margins of 84.76%. The company recorded a $1.1 billion net loss in FY2025, largely linked to IPO-related stock-based compensation, the release of 59 million Class B shares, and a class-action investigation. Key focus areas include AI economics and inference cost scaling, competitive posture affecting pricing power, and guidance and tone around revenue ranges and AI margin drag, including overseas contribution and enterprise expansion commentary.

Read at 24/7 Wall St.