Fortinet (FTNT) Price to Book (2010 - 2026)
Fortinet (FTNT) posted Price to Book of 72.66 for Q2 2026, up 19.88% on a QoQ basis from 60.61 in Q1 2026, and up 84.95% year-over-year from 39.28 in Q2 2025.
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Analysis
Fortinet (FTNT) Price to Book (2010 - 2026) Analysis & Trends
Fortinet has reported Price to Book for 17 years, with the latest figure at 72.66 in Q2 2026.
- On a quarterly basis, Price to Book rose 84.95% year-over-year to 72.66 in Q2 2026; TTM through Jun 2026 was 72.66, a 84.95% increase from a year earlier, with the FY2025 full-year figure at 47.68, down 1.72% from the prior year.
- Price to Book was 72.66 for Q2 2026 at Fortinet, up from 60.61 in the prior quarter.
- The five-year high for Price to Book was 4572.91 in Q1 2023, with the low at 379.16 in Q1 2024.
- Average Price to Book over 5 years is 301.96, with a median of 54.56 recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Price to Book slumped 417.27% in 2022, then soared 1846.61% in 2023.
- Over 5 years, Price to Book stood at 135.68 in 2022, then rose by 29.16% to 96.12 in 2023, then soared by 150.47% to 48.51 in 2024, then retreated by 1.72% to 47.68 in 2025, then soared by 52.39% to 72.66 in 2026.
- The last three Price to Book figures came in at 72.66 (Q2 2026), 60.61 (Q1 2026), and 47.68 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.66 |
| Mar 31, 2026 | 60.61 |
| Dec 31, 2025 | 47.68 |
| Sep 30, 2025 | 84.97 |
| Jun 30, 2025 | 39.28 |
| Mar 31, 2025 | 37.72 |
| Dec 31, 2024 | 48.51 |
| Sep 30, 2024 | 65.39 |
| Jun 30, 2024 | 159.81 |
| Sep 30, 2023 | 614.75 |
| Jun 30, 2023 | 184.88 |
| Mar 31, 2023 | 4,572.91 |
| Mar 31, 2022 | 234.92 |
| Dec 31, 2021 | 72.92 |
| Sep 30, 2021 | 42.02 |
| Jun 30, 2021 | 37.04 |
| Mar 31, 2021 | 30.70 |
| Dec 31, 2020 | 28.20 |
| Sep 30, 2020 | 26.81 |
| Jun 30, 2020 | 39.19 |
API Access
Fortinet Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=FTNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FTNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();