F5 (FFIV) Total Liabilities (2009 - 2026)
F5 (FFIV) recorded Total Liabilities of $2.97 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.5% from $2.64 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
F5 (FFIV) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5 reported Total Liabilities of $2.73 billion, up 9.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $2.48 billion in FY2024 (+1.5%), $2.45 billion in FY2023 (-12.8%), $2.81 billion in FY2022 (+6.5%) and $2.64 billion in FY2021 (+7.8%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- On a year-over-year basis, Total Liabilities has increased for eight consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 12.5% in fiscal Q3 2026, against a decline of 12.8% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.85 billion (Q2 2026), $2.75 billion (Q1 2026) and $2.73 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 2.97 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 Bn |
| Mar 31, 2026 | 2.85 Bn |
| Dec 31, 2025 | 2.75 Bn |
| Sep 30, 2025 | 2.73 Bn |
| Jun 30, 2025 | 2.64 Bn |
| Mar 31, 2025 | 2.59 Bn |
| Dec 31, 2024 | 2.66 Bn |
| Sep 30, 2024 | 2.48 Bn |
| Jun 30, 2024 | 2.40 Bn |
| Mar 31, 2024 | 2.45 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Sep 30, 2023 | 2.45 Bn |
| Jun 30, 2023 | 2.46 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.50 Bn |
| Sep 30, 2022 | 2.81 Bn |
| Jun 30, 2022 | 2.70 Bn |
| Mar 31, 2022 | 2.68 Bn |
| Dec 31, 2021 | 2.68 Bn |
| Sep 30, 2021 | 2.64 Bn |
API Access
F5 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=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();