F5 (FFIV) Operating Leases (2019 - 2026)
F5's Operating Leases was $218.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.7% from $229.41 million a year earlier and down 3.5% from the prior quarter.
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Analysis
F5 (FFIV) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Operating Leases at F5 came in at $230.75 million, up 6.9% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Leases was $215.79 million in FY2024 (-9.9%), $239.57 million in FY2023 (-12.0%), $272.38 million in FY2022 (-8.3%) and $296.95 million in FY2021 (-12.3%).
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Leases since fiscal Q4 2024.
- Compared with a year earlier, Operating Leases has declined for three straight quarters, with an average decline of 0.6% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q4 2025 (growth of 6.9%); the worst was fiscal Q3 2022 (a decline of 14.0%).
- Per Business Quant data, FFIV's Operating Leases in the three fiscal quarters before Q3 2026 was $226.58 million (Q2 2026), $234.86 million (Q1 2026) and $230.75 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.70 Mn |
| Mar 31, 2026 | 226.58 Mn |
| Dec 31, 2025 | 234.86 Mn |
| Sep 30, 2025 | 230.75 Mn |
| Jun 30, 2025 | 229.41 Mn |
| Mar 31, 2025 | 236.62 Mn |
| Dec 31, 2024 | 242.87 Mn |
| Sep 30, 2024 | 215.79 Mn |
| Jun 30, 2024 | 222.49 Mn |
| Mar 31, 2024 | 228.37 Mn |
| Dec 31, 2023 | 235.00 Mn |
| Sep 30, 2023 | 239.57 Mn |
| Jun 30, 2023 | 250.08 Mn |
| Mar 31, 2023 | 259.92 Mn |
| Dec 31, 2022 | 267.70 Mn |
| Sep 30, 2022 | 272.38 Mn |
| Jun 30, 2022 | 265.04 Mn |
| Mar 31, 2022 | 276.42 Mn |
| Dec 31, 2021 | 287.60 Mn |
| Sep 30, 2021 | 296.95 Mn |
API Access
F5 Operating Leases 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=operating-leases&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();