F5 (FFIV) Total Non-Current Liabilities (2009 - 2026)
F5's Total Non-Current Liabilities came in at $1.2 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.3% from $1.09 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
F5 (FFIV) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5's Total Non-Current Liabilities was $1.11 billion, up 12.2% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $993.97 million in FY2024 (+1.9%), $975.32 million in FY2023 (+0.8%), $967.27 million in FY2022 (-22.3%) and $1.25 billion in FY2021 (+7.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q1 2022.
- Year-over-year, Total Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2025 (growth of 15.0%), and the weakest in fiscal Q3 2022 (a decline of 24.9%).
- Business Quant data shows FFIV's Total Non-Current Liabilities at $1.17 billion (Q2 2026), $1.13 billion (Q1 2026) and $1.11 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 993.97 Mn |
| Jun 30, 2024 | 948.12 Mn |
| Mar 31, 2024 | 948.98 Mn |
| Dec 31, 2023 | 963.42 Mn |
| Sep 30, 2023 | 975.32 Mn |
| Jun 30, 2023 | 972.11 Mn |
| Mar 31, 2023 | 972.09 Mn |
| Dec 31, 2022 | 969.74 Mn |
| Sep 30, 2022 | 967.27 Mn |
| Jun 30, 2022 | 929.60 Mn |
| Mar 31, 2022 | 906.82 Mn |
| Dec 31, 2021 | 1.25 Bn |
| Sep 30, 2021 | 1.25 Bn |
API Access
F5 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=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FFIV", "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=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();