FEATURED
Figma’s 46% Growth Quarter Didn’t Convince Wall Street

Revenue growth accelerating for two consecutive quarters. Net dollar retention at 139% — its highest reading in over two years. A full-year guidance raise of $55 million. By any conventional software metric, Figma’s Q1 was exceptional. And yet six analysts cut their price targets the morning after the report.

That disconnect is the story — or rather, the tension that makes this stock genuinely hard to read right now.

Analyst Targets

• Wells Fargo: Buy — Price Target $52
• JPMorgan: Neutral — Price Target $42 (lowered from $45)
• Morgan Stanley: Equal Weight — Price Target $38 (lowered from $44)
• Piper Sandler: Overweight — Price Target $30 (lowered from $35)
• RBC Capital: Sector Perform — Price Target $28 (lowered from $31)
• Stifel: Hold — Price Target $25 (lowered from $30)
• Consensus (13 analysts): Hold — Average Target ~$46.90

The Numbers

Q1 Revenue: $333.4M (+46% YoY) — beat consensus of $316M by 5.5%
Non-GAAP EPS: $0.10 — beat consensus of $0.06 by 66.7%
Net Dollar Retention: 139% — highest in over two years, up 3 points from Q4 2025
Non-GAAP Gross Margin: 82.4% — down ~910 basis points YoY as AI inference costs rose
Non-GAAP Operating Income: $52.1M (16% margin)
Free Cash Flow: $88.6M (27% FCF margin)
Cash on Hand: $1.6 billion
Paying Customers: ~690,000 — up 54% YoY
FY26 Revenue Guidance (Raised): $1.422B–$1.428B vs. prior $1.366B–$1.375B
FY26 Non-GAAP Operating Income (Raised): $125M–$135M vs. prior $100M–$110M
Q2 Revenue Guidance: $348M–$350M (40% YoY growth at midpoint — well ahead of the ~$330M consensus)

After-hours on May 14, FIG rose roughly 6.9% to close at $19.97. On May 15, the stock surged an additional ~13% intraday, closing at $22.92.

Why the Stock Is Moving — and Why the Debate Is Still Alive

The figure that arguably moved the stock the most wasn’t on the income statement. It was a retention data point from April: over 75% of Org and Enterprise users who had previously exceeded their AI credit limits continued consuming credits after enforcement began. That’s willingness-to-pay evidence, not just usage data. A very different signal.

Figma Make — the company’s AI-powered app builder — was previously bundled free with paid seats. Once credit limits went live in March, heavy usage started generating incremental revenue. The early pull-through is real. Pro teams purchasing AI credit add-ons are spending more than three times what non-add-on teams spend. The monetization engine is turning on.

MCP weekly active users grew 5x quarter over quarter. Among customers spending over $100K in ARR, those using MCP grew full seats roughly 70% faster than non-MCP users. It’s currently free in beta — which makes it a future monetization layer on top of the existing seat and credit model. Paying customers in the $100K+ ARR tier reached 1,525, adding 120 customers in that cohort in Q1 alone.

Worth noting separately: Figma announced a partnership with OpenAI to integrate its platform into ChatGPT, allowing users to generate assets and collaborate on prototypes directly within conversations. The market views it as a meaningful step in broadening the platform’s reach.

The Bear Case Wall Street Won’t Ignore

Here’s why analysts are cutting targets despite all of the above: the structural threat to design software from AI-native tools isn’t theoretical anymore. Google launched Stitch — a free AI-powered design tool — in February. Anthropic launched Claude Design in April. So-called vibe coding platforms are increasingly capable of generating UI assets without traditional design workflows. That has investors questioning whether the design tool category itself faces disruption, not just competition.

There’s also a specific risk most people have glossed over. Figma’s federal government products rely on Anthropic’s Claude as the AI backbone. With an active legal dispute between the U.S. government and Anthropic, that revenue stream carries a cloud of regulatory uncertainty that’s difficult to model.

Non-GAAP gross margin slipped to 82.4% in Q1 as AI inference costs climbed — a trend that could persist as AI product usage scales. On a GAAP basis, the company reported a $142 million net loss in Q1 and carries trailing losses well above $1 billion, largely tied to IPO-related stock-based compensation. The stock trades at roughly 9–10x price-to-sales, leaving little room for multiple compression if growth ever decelerates.

Forward Scenarios

Bull: NDR holds above 130% into Q2. Credit monetization compounds as the AI credit model matures. MCP converts from free beta to a paid tier. Gross margins stabilize above 80%. Stock advances meaningfully toward the higher analyst targets in the $40–$52 range as competitive fears prove overstated.
Base: Growth holds near 40% but gross margin pressure persists. Stock grinds sideways in the $20–$30 range as the market waits for two or three more quarters of consistent execution before expanding the multiple.
Bear: Claude Design and Google Stitch gain meaningful enterprise traction, NDR slips below 130%, and gross margins compress further. Multiple contracts as AI disruption concerns deepen. Stock retests the April low of $16.60.

Technical Overlay

FIG priced its IPO at $33 on July 31, 2025, and reached an all-time high of $142.92 on August 1 — the first full day of trading. From that peak, it fell 88% to a 52-week low of $16.60 in late April 2026. The post-earnings move brought FIG back to close at $22.92 on May 15. The stock remains well below its 200-day moving average and is trading near the lower end of its historical range. For the technical picture to turn constructive, FIG needs to clear and hold the $28–$30 zone — the area where Piper Sandler and RBC now have their targets. Until then, every rally faces sellers who are still deeply underwater from the IPO period.

Bottom Line

Figma put up a 46% growth quarter with 139% NDR and a guidance raise. That’s not a broken company — that’s a company executing at a high level. But Wall Street is pricing in existential risk to the design software category, not just near-term competition. The tension between genuinely strong fundamentals and a structural disruption overhang is what makes FIG interesting and uncomfortable at the same time. Whether the stock recovers or stays range-bound depends on one question: does the enterprise moat hold when AI can generate interfaces on command? The next two quarters will start to answer it.

For informational purposes only.