Fortinet (FTNT) Total Liabilities (2010 - 2026)
Fortinet (FTNT) posted Total Liabilities of $9.3 billion for Q2 2026, up 4.66% on a QoQ basis from $8.9 billion in Q1 2026, and up 8.47% year-over-year from $8.6 billion in Q2 2025.
Fortinet (FTNT) Total Liabilities (2010 - 2026) Analysis & Trends
Fortinet has reported Total Liabilities for 17 years, with the latest figure at $9.3 billion in Q2 2026.
- On a quarterly basis, Total Liabilities rose 8.47% year-over-year to $9.3 billion in Q2 2026; TTM through Jun 2026 was $9.3 billion, a 8.47% increase from a year earlier, with the FY2025 full-year figure at $9.2 billion, up 10.67% from the prior year.
- Total Liabilities was $9.3 billion for Q2 2026 at Fortinet, up from $8.9 billion in the prior quarter.
- The five-year high for Total Liabilities was $9.3 billion in Q2 2026, with the low at $5.4 billion in Q1 2022.
- Average Total Liabilities over 5 years is $7.6 billion, with a median of $7.8 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Total Liabilities climbed 27.12% in 2022, then advanced 5.33% in 2026.
- Over 5 years, Total Liabilities stood at $6.5 billion in 2022, then climbed by 18.63% to $7.7 billion in 2023, then increased by 7.08% to $8.3 billion in 2024, then gained by 10.67% to $9.2 billion in 2025, then advanced by 1.71% to $9.3 billion in 2026.
- The last three Total Liabilities figures came in at $9.3 billion (Q2 2026), $8.9 billion (Q1 2026), and $9.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 5.27 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 797.71 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.17 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 25.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.31 Bn |
| Mar 31, 2026 | 8.89 Bn |
| Dec 31, 2025 | 9.15 Bn |
| Sep 30, 2025 | 8.63 Bn |
| Jun 30, 2025 | 8.58 Bn |
| Mar 31, 2025 | 8.44 Bn |
| Dec 31, 2024 | 8.27 Bn |
| Sep 30, 2024 | 7.94 Bn |
| Jun 30, 2024 | 7.76 Bn |
| Mar 31, 2024 | 7.80 Bn |
| Dec 31, 2023 | 7.72 Bn |
| Sep 30, 2023 | 7.41 Bn |
| Jun 30, 2023 | 7.16 Bn |
| Mar 31, 2023 | 6.82 Bn |
| Dec 31, 2022 | 6.51 Bn |
| Sep 30, 2022 | 5.96 Bn |
| Jun 30, 2022 | 5.67 Bn |
| Mar 31, 2022 | 5.42 Bn |
| Dec 31, 2021 | 5.12 Bn |
| Sep 30, 2021 | 4.84 Bn |
Fortinet Total Liabilities 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=total-liabilities&ticker=FTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();