Fortinet (FTNT) Total Non-Current Liabilities (2010 - 2026)
Fortinet's Total Non-Current Liabilities was $9.17 billion in Q2 2026, up 8.8% from $8.43 billion a year earlier and up 4.9% from the prior quarter.
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Analysis
Fortinet (FTNT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Fortinet came in at $9.01 billion, up 10.7% from FY2024.
- Total Non-Current Liabilities has now increased for 15 consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $8.14 billion in FY2024 (+7.1%), $7.6 billion in FY2023 (+19.5%), $6.36 billion in FY2022 (+26.2%) and $5.04 billion in FY2021 (+62.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 57 straight quarters, with growth averaging 8.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 5.3% (Q1 2026) to 69.6% (Q3 2021).
- Per Business Quant data, FTNT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $8.75 billion (Q1 2026), $9.01 billion (Q4 2025) and $8.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.68 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 770.18 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.11 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 5.20 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 12.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.17 Bn |
| Mar 31, 2026 | 8.75 Bn |
| Dec 31, 2025 | 9.01 Bn |
| Sep 30, 2025 | 8.47 Bn |
| Jun 30, 2025 | 8.43 Bn |
| Mar 31, 2025 | 8.30 Bn |
| Dec 31, 2024 | 8.14 Bn |
| Sep 30, 2024 | 7.81 Bn |
| Jun 30, 2024 | 7.64 Bn |
| Mar 31, 2024 | 7.67 Bn |
| Dec 31, 2023 | 7.60 Bn |
| Sep 30, 2023 | 7.34 Bn |
| Jun 30, 2023 | 7.09 Bn |
| Mar 31, 2023 | 6.74 Bn |
| Dec 31, 2022 | 6.36 Bn |
| Sep 30, 2022 | 5.90 Bn |
| Jun 30, 2022 | 5.61 Bn |
| Mar 31, 2022 | 5.34 Bn |
| Dec 31, 2021 | 5.04 Bn |
| Sep 30, 2021 | 4.74 Bn |
API Access
Fortinet Total Non-Current 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-non-current-liabilities&ticker=FTNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();