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Perplexity AI
AI-native answer engine and emerging consumer search alternative to Google. Aggressive enterprise expansion through 2025 with the Perplexity Enterprise product. Re-rated multiple times in 18 months on user growth and incumbent threat narrative.
Reviewed May 10, 2026 (6d ago)
Current estimate
4 methods · May 10, 2026Medium confidence (40%)
$21.2B
range $16.0B – $26.4B⚠ methods disagree (9.2× spread)
Implied per-share: $96.5 · vs last primary +18%
Last primary round
$18B
Series E · 5mo ago
Secondary signal
$20.0B
Hiive · 2026-04+11%
Headcount
800
employees · LinkedIn+78%
Revenue (est.)
$250M
annual run rate
Complete company data
Every input we use, where we got it from, and how much we trust it.
| Field | Value | Confidence | |
|---|---|---|---|
| Company fundamentals | |||
| Sector | Consumer AI | high | |
| Headquarters | 🇺🇸 United States | high | |
| Founded | 2022 | high | |
| Website | perplexity.ai | high | |
| Latest primary round | |||
| Post-money valuation | $18B | high | |
| Round name | Series E | high | |
| Date | 2025-12-08 (5 months ago) | high | |
| Lead investor | Institutional Venture Partners | high | |
| Amount raised | $500M | medium | |
| Capitalization | |||
| Total fully-diluted shares | 220M | low | |
| Implied share price (latest primary) | $96 | medium | |
| Primary equity type granted | ISO/NSO | high | |
| Financials | |||
| Annual revenue (est.) | $250M | medium | |
| EV / Revenue (implied) | 72.0x | medium | |
| Headcount | |||
| Employees (now) | 800 | medium | |
| Employees (12 months ago) | 450 | medium | |
| 12-month headcount growth | +78% | medium | |
| Methodology inputs | |||
| Sector ETF proxy | BOTZ | medium | |
| ETF annual return (trailing 3-yr) | 32% | medium | |
Funding history
Primary rounds reported in Bloomberg, WSJ, TechCrunch, Reuters, or SEC Form D filings (efts.sec.gov). Linked per round below.
Series E2025-12-08
$18.0BLed by IVP · raised $500M
Source: Bloomberg Dec 2025
Series D2025-03-12
$14.0BLed by IVP · raised $500M
Source: WSJ Mar 2025
Series C2024-11-19
$9.0BLed by IVP · raised $500M
Source: Bloomberg
Series B2024-04-23
$2.6BLed by NEA · raised $250M
Source: TechCrunch
Secondary market signals
Secondary market signals: bid/ask/trade indications from Hiive (hiive.com), Forge Global, Caplight Index, and tender prices reported in the press.
| Date | Type | Source | Price / share |
|---|---|---|---|
| 2026-04-02 | trade | Hiive | $90 |
| 2026-01-22 | trade | Forge | $82 |
| 2025-10-08 | bid | Hiive | $70 |
View live indications: Hiive ↗ · SEC Form D filings ↗
Public peer comparables
Public peer comparables: editorial selection of public companies with the closest business model. EV/Revenue and growth from public 10-Q filings and Bloomberg, refreshed quarterly.
| Ticker | Company | EV / Revenue |
|---|---|---|
| NVDA | Nvidia (upstream) | 22x |
| META | Meta | 8.5x |
| NFLX | Netflix | 6x |
| UBER | Uber | 3x |
Typical strike prices by cohort
Strike ranges by cohort: aggregated from Glassdoor, Teamblind threads, Carta's published industry data and reports from employees. Indicative only — your actual 409A at grant time is the only authoritative number.
2023 cohort
$8–$14
per share
2024 cohort
$28–$45
per share
2025 cohort
$60–$85
per share
Confidence breakdown
How much we trust each of the four valuation methods for this specific company, and why.
Method A — Peer-multiple
weight 35%→ $2.8B23% confidence
↳ Effectively excluded from the blend — this method is structurally unreliable for this company.
Growth-weighted peer EV/Revenue: 14.2x → 20% private-company discount → 11.3x on $250M revenue. Output implies less than half the recent market anchor ($20B) — this company is likely valued on optionality / non-revenue factors and Method A is structurally less reliable here.
Method B — Secondary-implied
weight 25%→ $18.4B55% confidence
Recency-weighted average of 3 secondary indications (180-day decay)
Method C — Primary time-decay
weight 30%→ $26.0B76% confidence
$18B round (2025-12-08) × 1.73× growth × 0.98× multiple decay over 0.4 years — capped at 1.3× recent secondary ($20.0B → $26.0B)
Method D — Sector momentum
weight 10%→ $20.3B53% confidence
$18B × (1 + 32% p.j.)^0.4yr = $20.3B via BOTZ ETF-proxy
Overall confidence
40%
Weighted average of the four methods. Above 65% is high, 40–65% medium, below 40% low.
Worked example for an employee
A concrete walk-through using a hypothetical employee profile. Same engine the calculator uses — try it with your real numbers.
Profile: a hypothetical employee who joined Perplexity AI 24 months ago (2024-05-16) with 2,000 options at a strike price of $37/share, on the standard 4-year vesting schedule with a 1-year cliff.
Vesting
1,000 of 2,000
50% vested at month 24
Implied share price (mid)
$96
weighted average of 4 methods
Gross vested value
$96,499
vested shares × implied price
Exercise cost
$36,500
1,000 × $37 strike
Net of exercise
$59,999
gross − exercise cost
Tax (rough)
$8,253
US federal only · AMT risk: low
What if the next round is…
Up round +30%
$72,586
New round at +30% valuation, 15% new shares issued
Down round −30%
$19,791
New round at −30% valuation, 20% new shares (higher dilution in distress)
Secondary today
$45,524
Sale on the secondary market at the typical 15% discount to the mid estimate
These numbers come from the same engine as the live calculator. Walk through with your own grant: use your real numbers →
Transparent assumptions
What we assumed where exact data isn't available. If any of these don't match your situation, the numbers above will be off.
Fully-diluted share count
220M shares
We don't have authoritative cap-table access for private companies. The number above is reconstructed from SEC Form D filings, secondary-market price-vs-valuation math, and leaked share-class summaries. Actual fully-diluted count (including unvested option pool and SAFEs) may differ by 5–15%.
Common-stock waterfall
1.0× to common
We assume a clean common-stock outcome — i.e. preferred-share liquidation preferences and ratchets do not extract value before common. In a down-exit, this assumption can be very wrong: preferred stack can take 30–70% of proceeds.
Private-company illiquidity discount
20% off public peers
Applied to Method A (peer-multiple). Per-company because category leaders with deep secondary markets and a clear IPO path warrant a smaller discount than early-stage names. The literature range is 10–35%; for Perplexity AI we use 20% based on secondary-market depth, valuation history, and proximity to liquidity.
Revenue growth assumption (Method C)
250% YoY
Compounded forward from the last primary date to today to estimate the company's value drift. Set per-company based on disclosed or reported ARR trajectory. Method C is further capped at 1.3× the most recent secondary trade (if any) to stop runaway extrapolation when revenue growth outpaces what the market is actually paying.
Sector ETF momentum (Method D)
BOTZ @ 32%/year
Method D applies the trailing return of BOTZ as a market-proxy adjustment to the primary valuation. Crude — meant as a tiebreaker when peer and secondary data conflict, not as a primary signal.
Outlier auto-downweight
Methods >50% from median get ½ weight
Robust-statistics safety net: any method whose output strays more than 50% from the median of the other three methods has its confidence weight halved when computing the blended mid-point. Prevents a single bad extrapolation from dragging the headline.
Recency decay for secondary trades
180-day half-life (e⁻ᵈ/¹⁸⁰)
A trade from 30 days ago counts ~5× more than one from 180 days ago. Tunable; some platforms use shorter half-lives.
Tax estimate
US federal only, single filer
Uses 2024 US federal brackets, ignoring state tax, NIIT, AMT credit recovery, and any other deductions. Treat as a directional sanity check, not a tax bill.
All data from public sources. Not investment, tax, or legal advice. Not affiliated with Perplexity AI. Last refreshed manually — see methodology for our update cadence.