The Enterprise Software Stock Wall Street Is Underestimating in 2026

Figma, now over 75% below its all-time high, is approaching $1.0 billion in trailing-12-month revenue with analysts projecting nearly $1.3 billion this year and more than $1.5 billion the following year (implying roughly 50% revenue growth over two years). The company reports a 131% revenue retention rate and converts over 25% of sales into free cash flow, while the stock trades at a price-to-sales ratio near 14 amid widespread AI-driven pessimism toward software names; a recovery in sentiment or execution toward analyst growth estimates could meaningfully re-rate the shares.

Analysis

Market structure: The sell-off is concentrated in high-multiple software/UX tooling names (FIG down ~75% from peak) while AI-infrastructure beneficiaries (NVDA) remain bid — winners are entrenched, cash-generating SaaS platforms with high net retention; losers are early-stage AI plays and sentiment-exposed SaaS names. With FIG generating ~ $1B TTM revenue, >25% FCF conversion and 131% retention, its pricing power suggests demand inelasticity for core design workflows even if adjacent AI tooling rises.

Risk assessment: Tail risks include rapid AI-driven feature substitution (low-probability but high-impact), regulatory scrutiny on data/IP integrations, or an enterprise spend shock from a macro slowdown; immediate risk is sentiment-driven volatility (days-weeks), near-term risk is earnings/guidance misses (1–3 quarters), long-term risk is execution on monetization and plugin ecosystem (12–36 months). Hidden dependencies: FIG’s growth partially hinges on third-party AI integrations (OpenAI ecosystem) and seat expansion in large enterprises — watch net retention and large-account churn as leading indicators.

Trade implications: Direct tactical bias: asymmetric long exposure to FIG via discounted equity or time-limited options with hedges; relative-value trade is long FIG vs short broader software ETF/AI-hype names to isolate company-specific recovery. Entry should be staged over 3–6 months; key triggers to add are quarterly ARR/retention beats >5% and guidance reaffirmation; exits on sustained retention <120% or a -40% drawdown from entry.

Contrarian angle: The market is over-indexing on ‘AI makes tools redundant’ narratives and underappreciates platform lock-in from collaborative design; historical parallel—enterprise SaaS drawdowns during prior tech scares rebounded when fundamentals reasserted (2002–2004). Mispricing: P/S ~14 vs 50% expected revenue growth over 2 years is a potentially asymmetric opportunity; unintended consequence of consensus: accelerated M&A interest (Adobe/others) if multiples remain depressed.

Key Decisions for Investors

• Establish a 2–3% portfolio long position in FIG over 3 months (scale in 25% increments) targeting a 12–18 month holding period; add another 1–2% if next two quarters report ARR/growth ≥ consensus+5% and net retention stays >130%.
• Implement a hedged options sleeve: buy 12-month FIG LEAP calls (or a 9–12 month call spread to cap premium) sized to 0.5–1% of portfolio and finance with selling short-dated calls if volatility compresses; close if implied vol > historical vol bands by >30% or if guidance is cut.
• Run a pair trade: long FIG equal notional vs short the iShares Expanded Tech-Software ETF (IGV) or a chosen AI-hype software name (~1:1 notional) for 6–12 months to capture relative recovery; unwind if FIG underperforms IGV by >20% over a rolling 90-day window.
• Reduce high-beta AI/infra exposure (e.g., reduce speculative AI-adjacent positions by ~20%) and increase cash/hedge weighting until macro indicators stabilize (US 10Y yield moves <50bp over 30 days) or FIG proves retention and revenue beats for two consecutive quarters.