F5 (FFIV) Total Current Liabilities (2009 - 2026)
F5's Total Current Liabilities came in at $1.77 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.1% from $1.55 billion a year earlier and up 5.5% from the prior quarter.
F5 (FFIV) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5's Total Current Liabilities was $1.61 billion, up 8.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $1.49 billion in FY2024 (+1.1%), $1.47 billion in FY2023 (-20.0%), $1.84 billion in FY2022 (+32.2%) and $1.39 billion in FY2021 (+8.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Current Liabilities since fiscal Q4 2022.
- Year-over-year, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q2 2022 (growth of 33.6%), and the weakest in fiscal Q4 2023 (a decline of 20.0%).
- Business Quant data shows FFIV's Total Current Liabilities at $1.68 billion (Q2 2026), $1.62 billion (Q1 2026) and $1.61 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 1.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.68 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 1.55 Bn |
| Mar 31, 2025 | 1.52 Bn |
| Dec 31, 2024 | 1.59 Bn |
| Sep 30, 2024 | 1.49 Bn |
| Jun 30, 2024 | 1.46 Bn |
| Mar 31, 2024 | 1.50 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.47 Bn |
| Jun 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.53 Bn |
| Sep 30, 2022 | 1.84 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 1.77 Bn |
| Dec 31, 2021 | 1.43 Bn |
| Sep 30, 2021 | 1.39 Bn |
F5 Total 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-current-liabilities&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();