Figma, Inc. research snapshot
FIG AI stock analysis currently reads Figma as a high-quality multiplayer design and product platform that is growing again while the stock is still recovering from a severe post-IPO re-rating. Q1 2026 revenue rose 46% to $333.4 million, net dollar retention for $10,000-plus ARR customers reached 139%, free cash flow was $88.6 million (27% margin), and the company raised full-year 2026 revenue guidance to about $1.42 billion to $1.43 billion. FIG closed at $21.11 on July 10, 2026, with an about $11.15 billion market cap, still down roughly 75% over one year and far below the IPO peak zone near $143. The FIG AI stock forecast is scenario-based, not a precise price prediction, and depends on whether AI product attach, seat expansion, enterprise standardization, and free cash flow conversion can outrun AI disruption fears and multiple compression.
Current price
$21.11 close on July 10, 2026
Market cap
$11.15 billion
AI score
64 / 100
Rating
High-quality collaborative design platform with re-accelerating growth and strong net dollar retention, but still priced for durable excellence after an 80%-plus post-IPO drawdown
Trend status
Post-IPO downtrend remains dominant: price trades above the 20-day and 50-day averages near $19.50 to $20.60, but still well below the 200-day average near $31, with a 52-week range of $16.60 to $142.92
Data cutoff (updated weekly)
July 12, 2026
Informational use only. This page is not investment advice.
| Dimension | Conclusion | Confidence |
|---|---|---|
| Business quality | Figma sells a browser-based collaborative design, prototyping, whiteboarding, slides, and AI-assisted product platform that product, design, and engineering teams use as a shared system of record for digital experiences. | High |
| Moat | The moat comes from multiplayer workflows, design-system lock-in, Dev Mode handoff, seat and enterprise expansion, and rising AI feature attach. It can narrow if Adobe, Canva, Framer, or AI-native tools become good enough for core product design collaboration. | Medium-high |
| Management | Co-founder Dylan Field remains CEO of a controlled company with a clear product vision and AI platform expansion. Founder continuity is a strength, while key-person risk, equity dilution, and control dynamics need ongoing monitoring. | Medium-high |
| Financial trend | FY2025 revenue was $1.056 billion, up 41%, with adjusted free cash flow of $242.7 million. Q1 2026 revenue grew 46% with 27% free cash flow margin, 139% net dollar retention for $10k-plus ARR customers, and about $1.6 billion of cash and marketable securities. | High |
| Valuation | At $21.11, FIG screened near 9.6x TTM sales, about 7.8x FY2026 guided midpoint revenue, about 77x forward non-GAAP earnings implied by the roughly 76.9x forward P/E print, and about 46x FY2025 free cash flow per share in the audited model. TTM GAAP EPS remained deeply negative at about -$4.07 after IPO stock-based compensation. | High |
| Technical trend | FIG sits in a damaged long-term structure: above near-term 20-day and 50-day averages near $19.50 to $20.60, but still far below the 200-day average near $31 and the IPO-peak zone. RSI readings around mid-range support a neutral-to-fragile short-term bounce inside a larger post-IPO downtrend. | Medium |
| Risk level | Main risks are AI disruption of design workflows, valuation compression after the IPO bubble and crash, Adobe and free-tool competition, stock-based compensation dilution, founder control, slower enterprise expansion, and any reset in high-growth software multiples. | Medium-high |
| AI confidence | Descriptive data confidence is high for company metrics and cross-checked market cap math. Predictive confidence is only medium because AI product narratives and software multiples can reprice faster than fundamentals change. | High data confidence |
| Investment certainty | FIG looks like a durable product-collaboration platform with re-accelerating growth, but the stock is not a high-certainty bargain unless revenue, AI attach, and free cash flow compound fast enough to absorb still-premium forward multiples after a violent post-IPO de-rating. | Medium-low |
FIG AI stock forecast
The FIG AI stock forecast uses the $21.11 July 10, 2026 close, an about $0.274 forward earnings proxy implied by the roughly 76.9x forward P/E print, and a three-year earnings multiple framework. The audited model produced a bearish value near $9.60, a base value near $31.60, and a bullish value near $67.70 before dilution, buybacks, or future multiple changes outside the stated assumptions. These are scenario ranges, not promises.
$60 to $75
More likely if FY2026 revenue tracks at or above the $1.422 billion to $1.428 billion guidance range, net dollar retention holds near 135% or better, $100k-plus ARR customers keep growing near mid-40% or better, AI add-ons and non-seat revenue scale, free cash flow margins stay in the mid-20% area, and investors again pay a premium multiple near 90x forward earnings.
$28 to $36
More likely if revenue compounds in the mid-20% to high-20% range after 2026, non-GAAP profitability expands gradually, paid-seat and design-system expansion continue, free cash flow remains solid, and FIG holds a lower but still growth-software multiple near 55x forward earnings as the post-IPO overhang fades.
$8 to $12
More likely if AI tools reduce design seat demand, Adobe or free alternatives pressure pricing, enterprise expansion stalls, stock-based compensation keeps GAAP losses large, software multiples compress further, or the stock re-rates toward 25x forward earnings while growth slows toward the low teens.
FIG AI technical analysis
FIG AI technical analysis is a short-term bounce inside a damaged long-term downtrend as of the July 12, 2026 data cutoff. Yahoo Finance showed a $21.11 close on July 10, 2026, a 52-week range of $16.60 to $142.92, and roughly 18 million shares of daily volume against about 20.8 million average volume. Barchart and Chartmill references put the 20-day average near $19.50, the 50-day near $20.60, the 100-day near $22.00 to $22.10, and the 200-day near $31.40 to $31.60. Price is above short averages but still well below the major long-term average and far under the IPO peak.
| Level | Value | Why it matters |
|---|---|---|
| Current price | $21.11 | July 10, 2026 close used for market cap and valuation math. |
| Immediate support | $19.50 to $20.60 | This band sits near the 20-day and 50-day moving-average references from Barchart and Chartmill, so a hold would keep the short-term bounce intact. |
| First major support | $16.60 to $17.00 | The 52-week low zone is the key invalidation shelf for the post-crash base. A break would reopen downside after the 2025 to 2026 de-rating. |
| Near resistance | $22.00 to $25.50 | The 100-day average near $22 and nearby rebound pivots can stall bounces before the stock challenges longer-term averages. |
| Major resistance | $31 to $36 | The 200-day average near $31 and analyst-target clusters around the low-to-mid $30s define a larger repair zone after the IPO crash. |
| Moving averages | 20-day about $19.50, 50-day about $20.60, 200-day about $31.50 | Price above the 20-day and 50-day averages supports a short-term bounce, while the position below the 200-day average keeps the dominant post-IPO trend bearish. |
| Momentum | RSI roughly mid-range near 50 to 65 across vendors | Momentum is not deeply oversold after the bounce from the $16.60 low, and mixed RSI prints across vendors argue against treating every bounce as a confirmed trend reversal. |
| Volume | About 18.0 million shares on July 10 versus average volume near 20.8 million | Elevated average volume after the IPO crash means breakouts and breakdowns should be judged against multi-million-share daily liquidity rather than thin float assumptions. |
| Volatility | 52-week range $16.60 to $142.92 | The extreme range after the July 2025 IPO debut and subsequent crash means large daily swings remain normal for FIG. |
| Invalidation | Close below $19.50, then below $16.60 | A 20-day break would weaken the short-term bounce, while a 52-week-low break would challenge any base-building thesis. |
FIG AI trading strategy
The FIG AI trading strategy below is a rules-based research framework, not personal advice. It links technical levels with revenue growth, net dollar retention, AI attach, free cash flow conversion, and valuation discipline.
Watch for FIG to hold above the $19.50 to $20.60 moving-average band and reclaim the $22 to $25.50 resistance area on above-average volume while the next earnings update confirms mid-30% or better revenue growth, net dollar retention near 135% or higher, $100k-plus customer growth, and free cash flow strength.
A failed breakout followed by a close below $19.50 should reduce setup confidence, especially if management commentary points to weaker AI monetization, lower retention, or seat compression from competing design tools.
If FIG pulls back toward the $16.60 to $19.50 support band without a negative revenue, retention, or free cash flow reset, compare the new price with FY2026 guidance, TTM free cash flow, peer design and creative software multiples, and cash net of debt.
Do not treat a pullback as attractive if revenue growth re-decelerates sharply, AI competitors take design seats, free cash flow margin collapses, or the stock remains above a valuation range that cannot be supported by cash flow growth.
Track Q2 and FY2026 guidance, revenue growth, net dollar retention, paid customers, $10k-plus and $100k-plus ARR cohorts, AI add-on and non-seat revenue, non-GAAP operating income, free cash flow margin, cash and marketable securities, stock-based compensation, diluted share count, and competitive moves from Adobe, Canva, and AI-native design tools.
Position sizing should reflect that FIG is a strong product platform still priced for multi-year growth after a violent IPO re-rating, not a guaranteed AI-era design winner.
Investment research summary
Customers pay Figma so product, design, and engineering teams can design, prototype, hand off, present, and iterate on digital experiences in one shared browser-based workspace. The core value is multiplayer collaboration around a live design system of record rather than static local files.
Figma benefits from switching costs around team workflows, design systems, Dev Mode handoff, enterprise administration, and growing AI feature attach across Design, FigJam, Slides, Make, and related products. The moat can narrow if Adobe, Canva, Framer, or generative AI tools become good enough for core collaborative product design.
The thesis fails if generative AI reduces paid design seats, customers consolidate onto bundled Adobe or free tools, enterprise expansion stalls, stock-based compensation dilutes per-share value, founder-control issues surface, or valuation compresses faster than free cash flow compounds after the post-IPO crash.
Dylan Field co-founded Figma and remains CEO of a controlled company with a product-first culture and aggressive AI platform expansion. Founder continuity is a positive for product vision, while key-person dependence, equity incentives, and control dynamics remain open governance questions for public-market holders.
Digital product development, design systems, developer handoff, and AI-assisted creation all raise demand for collaborative product tooling. Figma sits in a long-duration software trend, but the same AI wave that can expand usage also threatens traditional design labor and seat-based pricing models.
The stock price still implies that Figma can keep compounding high growth, expand non-GAAP profitability, and convert free cash flow for years. The audited base-case scenario leaves upside from $21.11 toward about $32, while the bull case needs sustained premium multiples near 90x forward earnings. Margin of safety improved after the crash but is still limited unless growth and cash flow outrun multiple compression and AI disruption risk.
Source-backed data
Every metric below includes a source and last verification date.
| Metric | Value | Source | Last verified |
|---|---|---|---|
| Current price | $21.11 close on July 10, 2026 | Yahoo Finance FIG quote and Figma investor stock info | July 12, 2026 |
| Market cap | $11.15 billion as of July 10, 2026 close | Yahoo Finance FIG statistics | July 12, 2026 |
| Shares outstanding used for market cap check | About 528.38 million (price times shares matched the $11.15B print within 0.00%) | Implied from Yahoo market cap and price; Business Insider total share count cross-check | July 12, 2026 |
| Q1 2026 revenue | $333.4 million, up 46% year over year | Figma Q1 2026 earnings release | July 12, 2026 |
| Q1 2026 free cash flow and cash | $88.6 million free cash flow (27% margin) and about $1.6 billion cash, cash equivalents, and marketable securities as of March 31, 2026 | Figma Q1 2026 earnings release | July 12, 2026 |
| Customer and retention metrics | 139% net dollar retention for $10k-plus ARR customers, about 690,000 paid customers, 15,218 customers above $10k ARR, 1,525 customers above $100k ARR | Figma Q1 2026 earnings release | July 12, 2026 |
| FY2025 revenue and free cash flow | $1.056 billion revenue (+41% year over year) and $242.7 million free cash flow | Figma FY2025 earnings release | July 12, 2026 |
| FY2026 company outlook | Revenue $1.422 billion to $1.428 billion and non-GAAP operating income about $125 million to $135 million after the Q1 raise | Figma Q1 2026 earnings release and coverage summaries | July 12, 2026 |
| Valuation markers | About 9.6x TTM sales, about 7.8x FY2026 guided midpoint revenue, about 76.9x forward P/E, TTM GAAP EPS about -$4.07, enterprise value about $9.56 billion | Yahoo Finance FIG key statistics and company guidance math | July 12, 2026 |
| Technical references | 20-day average about $19.50, 50-day about $20.60, 100-day about $22.05, 200-day about $31.50, 52-week range $16.60 to $142.92 | Barchart, Chartmill, and Yahoo Finance technical and range data | July 12, 2026 |
This FIG AI stock analysis is for information and education only and is not investment advice, a recommendation, or an offer to buy or sell any security. Forecast ranges are scenario models based on publicly available data as of the stated cutoff and can be wrong. Markets, competition, AI product adoption, and company fundamentals can change quickly. Do your own research and consider speaking with a qualified advisor before making investment decisions.
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