Figma valuation: AI is changing the story, but dilution still matters

Summary

Figma is still growing like a premium software company. Q1 FY2026 revenue grew 46% year over year, net dollar retention improved to 139%, large-customer counts accelerated, and management raised full-year revenue and non-GAAP adjusted operating profit guidance on the May 2026 earnings call.

The business is also changing. Figma is moving from a mostly seat-based design platform to a broader product-building platform where seats, AI credits, and new creative workflows can grow together. The important investor question is whether AI makes Figma more central to product teams or makes parts of the design workflow easier to replace — and, as of this update, whether that question gets resolved by the market or by Figma's own board, given recent activist pressure (Section 1).

At $16.84, the stock trades below the base-case fair value estimate in this note. The setup is constructive, not simple. The operating metrics are strong, but the equity story is still weighed down by reported losses, very large stock-based compensation, and uncertainty around long-term AI margins.

1. Recent Stock and Business Recap

Figma's IPO illustrates how far sentiment has swung. The July 31, 2025 offering priced at $33/share, opened near $85, and closed its first trading day at $115.50 — a 250% first-day pop that valued the company near $68 billion. Based on the last Yahoo close returned by the repo CLI, as of 2026-06-25, FIG was down about 85.4% from that first public close, while the S&P 500 and Nasdaq 100 were up over the same window.

FIG vs market since IPO

Latest FIG close

$16.84

FIG since IPO

-85.4%

S&P 500 / Nasdaq 100

+16.1% / +26.8%

FIG

S&P 500

Nasdaq 100

The recent story has two sides:

• The negative market narrative: AI-native design and coding tools may reduce the need for dedicated design software. Recent news flow included Google Stitch concerns in March and Anthropic-related competitive questions in April. More pointedly, in May 2026 activist investor Findell Capital Management sent a public letter to Figma's CEO and board. Findell's letter argues Figma is significantly undervalued, but it also calls on management to sharpen product focus and rationalize costs in line with competitors, and — notably — calls on the board to specifically examine Figma's relationship with Anthropic given the competitive overlap between Figma's roadmap and Claude-based design and coding tools. That turns part of the AI-competition question from a product issue into a governance and strategic-direction issue as well.
• The positive operating narrative: Q1 FY2026 was a beat-and-raise quarter. Revenue growth accelerated, net dollar retention improved, AI credit monetization began, and Config 2026 added Code Layers, Motion, agents on the canvas, Weave workflows, and broader AI surfaces.

Sell-side views are split

Wall Street hasn't settled on a view either. Around Config 2026, analysts moved in both directions:

The dispersion itself is informative: a $22-to-$38 range across firms covering the same quarter and the same Config event shows the market hasn't converged on whether AI is a net tailwind or net threat to Figma's core workflow. This note's $25 fair value and $27 target sit toward the lower half of that sell-side range, mainly because the dilution and margin assumptions used here (Section 7) are more conservative than a pure growth-multiple framing would imply.

The stock's decline is not, by itself, a bearish valuation argument — a lower price is attractive if the underlying business keeps executing. The point worth taking from the price action and the target dispersion is narrower: the market currently has low confidence in the durability of Figma's model, and that skepticism is exactly what the next two or three quarters need to either confirm or disprove.

2. Business Direction: From Design Tool to Product-Building Platform

Figma's core business is collaborative software for designing and building digital products. The company is trying to expand the canvas from a place where designers work into a broader product-building surface for designers, developers, product managers, marketers, and AI agents.

On the Q1 FY2026 earnings call, management said growth came from seat expansion, retention, enterprise adoption, new users, and AI credit monetization that began on March 18, 2026. At Config 2026, management framed the strategy as an "intelligent canvas" with more materials and more AI-enabled workflows: Code Layers, Motion, shaders, 3D transforms, Weave, agents, custom skills, and MCP.

The logic follows three steps:

1. AI increases the amount of software and creative output being produced.
2. More output makes coordination, review, quality control, and design systems more important, not less.
3. Figma wants to be the shared work surface where those outputs are brought together, refined, governed, and moved toward production.

This is why Code Layers matters strategically. At Config, management said teams increasingly prototype inside individual coding agents or IDEs, but sharing and feedback become fragmented as a result. Figma's answer is to bring code-backed prototypes onto the canvas so teams can compare alternatives, comment, iterate, and move between code and design in one place.

The business model is evolving alongside the product. A year ago, Figma was largely seat-based. Today the model has more levers: full-seat upgrades, Dev Mode, AI credit add-ons, pay-as-you-go credits for Pro customers, enterprise contracting for AI usage, Governance+, advisory services, and new creative products such as Weave and Motion.

3. Operating Metric Trends: Customer Expansion Is the Strongest Part of the Story

The operating metric trend is the main bullish evidence. Revenue growth reaccelerated to 46% in Q1 FY2026. Net dollar retention rose to 139%, its highest level in more than two years according to management. Customers above $10k annual recurring revenue (ARR) and above $100k ARR both continued to grow.

Revenue growth is still premium software growth

Q1 FY2026 revenue

$333.4m

Revenue growth

46.1%

Net dollar retention

139%

Revenue

Net dollar retention

Large customers kept expanding

$10k annual recurring revenue customers

15,218

$100k annual recurring revenue customers

1,525

Five-quarter $100k growth

+58%

$10k annual recurring revenue

$100k annual recurring revenue

Enterprise expansion is not just a vague claim. There are several supporting data points:

• ≥$100k ARR customers increased from 963 in FY2024 Q4 to 1,525 in FY2026 Q1, up about 58% over five quarters.
• ≥$10k ARR customers increased from 10,517 to 15,218 over the same period, up about 45%.
• On the Q1 call, management said paid customers spending more than $100k ARR grew 48% year over year, while paid customers spending more than $10k ARR grew 37%.
• Management also said over 60% of paid customers with more than $10k ARR added full seats at renewal in Q1.
• Around 60% of customers with more than $100k ARR were using Figma Make weekly in Q1, up from over 50% in Q4.
• Management cited one hyperscaler agreement with over 35,000 paid seats, a global media company that moved from organic Make usage to a company-wide rollout, a large India IT services deal, and a European industrial automation customer where engineers now outnumber designers on Figma.

The main interpretation: Figma is not only adding smaller teams. It is expanding inside larger customers and adding new personas. That matters because large-customer expansion is usually more durable than one-time AI curiosity.

4. AI Monetization: Early but Relevant

AI is currently both a growth driver and a margin question. On the Q1 call, management said AI credit limits began on March 18, 2026, and Q2 would be the first full quarter of credit monetization. The early signal was positive: more than 75% of org and enterprise users who were above their credit limits continued to use credits after enforcement, and more than 95% remained active on the platform.

Management also said Pro teams that bought AI credit add-ons had more seats per team and average annualized spend more than 3x that of teams that had not bought add-ons. That suggests credits may not only add usage revenue, but may also correlate with better seat expansion.

The offset is cost. AI inference and model training put pressure on cost of revenue, R&D, and sales and marketing. Management did not give a hard gross-margin floor. Instead, it said the focus is gross profit dollars and long-term product ubiquity, with cost levers such as model routing, model-agnostic architecture, and first-party models trained on Figma's design corpus.

For investors, this means gross margin may remain lower than historic pure-SaaS levels while AI usage scales. That is acceptable if revenue growth and retention improve enough to offset it. It is a problem if AI usage becomes expensive but hard to monetize.

5. Financials, Book Value, Employees, and Cash Flow

The financial picture is mixed. Revenue growth and free cash flow are strong. Reported profitability is poor because stock-based compensation is very high after the IPO.

Stock-based compensation explains the gap between GAAP loss and cash flow

Trailing twelve-month reported operating loss

$1.47bn

Trailing twelve-month stock-based compensation

$1.53bn

Q1 free cash flow margin

26.6%

Stock-based compensation

Why Is the Reported Operating Loss So Large?

Trailing twelve-month reported operating loss was about $1.47 billion. Trailing twelve-month stock-based compensation was about $1.53 billion. Nearly all of the trailing twelve-month reported operating loss is explained by stock-based compensation rather than cash operating burn — which is a real cost to shareholders through dilution, but a different cost than the headline loss number suggests.

The FY2025 Q3 spike to $1.14 billion of stock-based compensation is the clearest illustration. Mechanically, this is a known accounting pattern for restricted stock units that vest only once both a service condition and a liquidity-event condition (such as an IPO) are met: no expense is recognized while the company is private, and once the liquidity event occurs, GAAP requires an immediate cumulative catch-up charge covering the service period employees have already completed. That single accounting trigger — not a sudden change in actual pay practice — is the main driver of the outsized FY2025 Q3 loss, and the pattern is common to other companies that go public using the same double-trigger RSU structure.

In the Q1 FY2026 filing, Figma reported $170.8 million of stock-based compensation in stockholders' equity, 10.2 million shares issued upon release of restricted stock units, and 3.6 million shares withheld for taxes upon equity-award release. The FY2025 annual filing also says the company drew $330.5 million on its revolver to pay tax withholding and remittance obligations associated with restricted stock unit net settlement in connection with the IPO, then used part of the IPO proceeds to repay the debt.

On an employee basis, the size of trailing stock-based compensation becomes more concrete — but the caveat here matters more than the number itself. These are not normal run-rate compensation figures. They are inflated by the same post-IPO cumulative catch-up described above, plus legacy pre-IPO grants now vesting on their original schedule. With that caveat in mind:

Figma had 1,886 employees at 2025 year-end, up from 1,014 at 2022 year-end.

Using 1,886 employees as the denominator:

These per-employee figures are useful for one narrow reason: they make concrete why dilution, not cash burn, is the central valuation issue here. Headcount growth explains part of the rise in ordinary employee-related expense, but the size and timing of the reported loss is mostly an equity-accounting story, not an operating one.

Balance Sheet and Book Value

Figma has a strong balance sheet. Based on Q1 FY2026 data as of 2026-03-31, it had about $1.66 billion of cash and investments, $56 million of debt, and net cash of about $1.61 billion.

Net cash stayed strong while book value per share fell

Cash and investments

$1.66bn

Net cash

$1.61bn

Deferred revenue

$627.7m

Net cash

Deferred revenue

Deferred revenue rose from $406.6 million in FY2025 Q1 to $627.7 million in FY2026 Q1. That supports the revenue growth story and shows continued advance billing. Book value per share fell despite positive net cash because share count expanded materially after the IPO and equity-award releases.

Cash Flow Quality

Q1 FY2026 free cash flow was $88.6 million, or 26.6% of revenue. Trailing twelve-month free cash flow was $236.7 million, a 20.4% margin. Management noted on the Q1 call that a new annual corporate bonus program created a $56 million Q1 cash outflow and reduced Q1 free-cash-flow margin by 17 percentage points.

The cleanest view is this: the product has strong cash-flow potential, but equity compensation is currently absorbing a large part of the economic value. Figma's long-term valuation depends on whether revenue growth, operating leverage, and lower stock-based compensation as a percentage of revenue can reduce dilution over the next several years.

6. Competition

"AI competition" is too broad unless it is broken down by workflow. Figma is not facing one clean substitute. It is facing pressure on several jobs that used to sit inside or around the design file.

The specific replacement risk is strongest in low-complexity work: first drafts, simple prototypes, one-off landing pages, and basic UI screens. Those use cases can be generated outside Figma. The risk is weaker in complex product work where teams care about shared design systems, multi-person review, enterprise governance, accessibility, security, and the final path to production.

The best competitive argument for Figma is not "AI cannot design." AI can already create useful drafts. The stronger argument is that enterprise product work is rarely one prompt and done. It requires iteration, comparison, approvals, brand and design-system constraints, and handoff across designers, PMs, engineers, legal, and marketing. Figma is trying to own that shared layer.

Management's strongest competitive argument is context. On the Q1 FY2026 earnings call, Dylan Field highlighted three differentiators: a performant multiplayer canvas, deep product context, and the ability to combine AI, design, code, and direct manipulation in one place. At Config, management expanded that point: the more work that happens on Figma, the more context Figma has, and the more useful its agents and workflows can become.

That is plausible, but not guaranteed. The company has to keep shipping quickly because AI-native tools are improving fast and some will be good enough for lightweight design work. Worth flagging again here: the Anthropic relationship specifically is no longer just a row in this competitive table — it is now also a board-level governance question following Findell Capital's letter (Section 1 and Section 9).

7. Valuation and Discounted Cash Flow Model

Based on the last close price of $16.84 as of 2026-06-25 and 528.38 million shares, the implied market capitalization is about $8.9 billion. After $1.61 billion of net cash, enterprise value is about $7.3 billion. Against FY2026 revenue guidance midpoint of $1.425 billion, that is roughly 5.1x forward revenue. Against trailing twelve-month free cash flow of $236.7 million, enterprise value / free cash flow is roughly 31x.

A useful cross-check is to compare Figma with other software companies that went public in recent years. The table below uses a 2026-06-25 close for Figma and the latest Yahoo fundamental time-series data available at that time.

This comparison makes Figma look neither obviously cheap nor obviously expensive. It is much cheaper than Datadog and Snowflake on enterprise value / sales despite faster reported growth, but those companies have longer public operating records and less uncertainty around the design-AI threat. Figma is more expensive than GitLab, Klaviyo, and monday.com, but it is also growing faster than those companies in the latest quarter. Rubrik is a useful midpoint: similar free cash flow margin, slightly lower growth, and a higher enterprise value / sales multiple.

The main conclusion is that Figma's current multiple only makes sense if the market is applying a large discount for AI substitution risk, dilution, and now governance uncertainty. If Q2 and Q3 show that AI credits are incremental and that large customers keep expanding, the stock can reasonably trade above the current ~6x trailing twelve-month sales level. If AI competition starts to slow net dollar retention or gross margin falls without matching revenue upside, the lower peer multiples become more relevant.

The discounted cash flow uses normalized free cash flow. This is more useful than reported net income right now because reported losses are dominated by post-IPO stock-based compensation. However, dilution is modeled explicitly, so stock-based compensation is not ignored.

Discounted cash flow scenarios cluster around the base case

Bear

$12.48

Base

$24.52

Bull

$45.69

Fair value

Main Scenario Assumptions

The base case starts with FY2026 revenue guidance midpoint of $1.425 billion. It assumes growth fades gradually as the business scales, while free cash flow margin expands as the company gets operating leverage and AI monetization offsets inference costs. It also assumes dilution of 3% per year for five years, then 1% per year for five years — roughly in line with the pace of RSU-driven share growth seen in Figma's first year as a public company, though actual future dilution will depend on management decisions (such as buybacks) that the company has not yet detailed.

Scenario Output

The base case gives a current fair value of about $25/share, roughly 46% above the $16.84 close used in this update. The 1-year target is $27/share, slightly above current fair value, because Figma should either prove or disprove the early AI monetization thesis over the next few quarters. If the Q2 and Q3 data confirm that credits are driving incremental revenue without severe margin pressure, the market should be willing to underwrite a higher multiple.

What the Monte Carlo Simulation Means

The Monte Carlo simulation is a stress test, not a separate forecast. Instead of using one fixed set of assumptions, it tests 10,000 random discounted cash flow cases around reasonable ranges for revenue growth, free cash flow margin, discount rate, terminal growth, FY2026 revenue base, and dilution.

The result:

In most of the reasonable random cases, the valuation clusters in the low-to-high $20s. The 10th percentile means only 10% of simulated outcomes were below $20.70; the 90th percentile means only 10% were above $31.84. At the current $16.84 price, even the 10th-percentile simulated outcome sits above the market price — meaning most of the simulated scenarios, including fairly conservative ones, land above where the stock trades today. That is a reflection of this model's assumptions, not a guarantee about the future, but it does support treating $25 as a reasonable base case rather than an optimistic one.

Monte Carlo valuation distribution

Mean

$26.00

Median

$25.57

90th percentile

$31.84

Fair value

8. Bullish Case

The bullish case is that Figma becomes more important as AI creates more software and more design work. If code generation becomes cheaper, product quality, taste, design systems, governance, and collaborative review become more valuable. Figma already owns a lot of that workflow context.

Key bullish points:

• Revenue growth reaccelerated to 46% in Q1 FY2026.
• Net dollar retention improved to 139%, the highest level in more than two years.
• Enterprise expansion is supported by faster growth in ≥$100k ARR customers, higher Make usage among large customers, and full-seat additions at renewal.
• AI credits introduce a second monetization layer on top of seats.
• Remaining performance obligations increased to $682.3 million, improving near-term revenue visibility.
• The balance sheet has about $1.6 billion of net cash.
• The stock price already reflects a lot of competitive concern, and Citi's June 2026 Buy initiation plus a low-to-mid-$30s average sell-side target suggest at least part of Wall Street sees room for a re-rating rather than continued de-rating.

9. Bearish Case

The bearish case is that Figma is a high-growth company with a fragile multiple. AI may expand usage, but it also raises inference costs, increases competition, and may weaken seat-based pricing over time. Reported losses are large, and stock-based compensation makes cash flow look cleaner than owner economics.

Key bearish points:

• The stock's decline matters mainly as a sentiment and momentum signal, not as a standalone valuation argument (see Section 1).
• Findell Capital Management's May 2026 letter adds a governance dimension on top of the product-competition risk: it specifically asks the board to examine Figma's relationship with Anthropic, whose Claude-based tools compete with parts of Figma's roadmap. That is a different kind of risk than a slow quarter — it can affect strategic direction independent of near-term financial results.
• Sell-side estimates are unusually dispersed (RBC at $22 versus Citi at $36, both as of late June 2026), signaling real disagreement about the durability of the model rather than a settled view investors can lean on.
• Gross margin has moved lower as AI usage and product mix changed.
• Trailing twelve-month reported operating loss was about $1.47 billion, mainly because trailing twelve-month stock-based compensation was about $1.53 billion.
• Diluted shares increased materially after the IPO, and book value per share fell to $2.78 by Q1 FY2026.
• If AI design tools become good enough for many users, Figma may need to spend more and price more carefully.
• Multi-class voting control limits outside shareholder influence, which also limits how much an activist campaign like Findell's can force change even if its concerns are valid.

Conclusion

Figma is not a simple value stock. It is a high-growth software platform with strong customer metrics, a large net cash position, and an improving AI monetization story. It also has heavy stock-based compensation, dilution, reported losses, fast-changing competition, and — as of May 2026 — an activist shareholder pushing the board to address its relationship with one of its more visible AI competitors.

Current fair value estimate: $25/share. 1-year price target: $27/share. At the $16.84 close used in this update, that implies roughly 48% upside to the current fair value estimate. The stock looks undervalued if Figma keeps revenue growth above 30%, sustains high net dollar retention, and turns AI credits into profitable incremental revenue. The main reasons to be cautious are dilution, the possibility that AI competition compresses long-term margins or reduces pricing power, and the added uncertainty from activist and governance pressure that did not exist in earlier quarters.

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Price data refreshed through: 2026-06-25 market close, using the repo Yahoo CLI.

Primary public inputs: company filings, Q1 FY2026 earnings call dated 2026-05-14, Config 2026 investor session dated 2026-06-24, Findell Capital Management's May 2026 public letter to Figma's board, sell-side analyst notes published around Config 2026 (Citi, Wells Fargo, Morgan Stanley, RBC Capital, JPMorgan), Figma's July 2025 IPO pricing and first-day trading data, company profile data, employee history, news headlines, and Yahoo daily closing prices.

This report is for informational purposes only and does not constitute investment advice, a recommendation, or an offer to buy or sell any security. Forward-looking figures (fair value estimates, price targets, DCF and Monte Carlo outputs) are based on stated assumptions that may not occur. Data points are sourced from public filings and third-party reporting as of the dates indicated throughout this report and may be stale by the time this is read — particularly anything tied to a specific closing price.