F5 (FFIV) Cost of Revenue (2009 - 2026)
F5 (FFIV) posted Cost of Revenue of $162.97 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 13.3% from $143.88 million a year earlier and up 6.1% from the prior quarter.
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Analysis
F5 (FFIV) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), F5's Cost of Revenue came in at $619.21 million, up 7.9% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- In prior fiscal years, F5's Cost of Revenue was $573.98 million in FY2025 (+2.9%), $557.65 million in FY2024 (-6.0%), $593.31 million in FY2023 (+9.9%) and $539.63 million in FY2022 (+9.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q3 2009.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q2 2023, with growth of 23.2%; the weakest was fiscal Q1 2024, with a decline of 12.0%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $153.56 million (Q3 2026), $150.9 million (Q2 2026) and $151.79 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 510.08 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 437.50 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 237.17 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 208.96 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 164.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 357.94 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 202.01 Mn |
| 10 | F5 | 17.64 Bn | 12.05 Bn | 711.51 Mn | 153.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.56 Mn |
| Mar 31, 2026 | 150.90 Mn |
| Dec 31, 2025 | 151.79 Mn |
| Sep 30, 2025 | 143.88 Mn |
| Jun 30, 2025 | 148.63 Mn |
| Mar 31, 2025 | 140.96 Mn |
| Dec 31, 2024 | 140.51 Mn |
| Sep 30, 2024 | 143.72 Mn |
| Jun 30, 2024 | 136.43 Mn |
| Mar 31, 2024 | 141.11 Mn |
| Dec 31, 2023 | 136.39 Mn |
| Sep 30, 2023 | 140.96 Mn |
| Jun 30, 2023 | 141.68 Mn |
| Mar 31, 2023 | 155.65 Mn |
| Dec 31, 2022 | 155.01 Mn |
| Sep 30, 2022 | 147.46 Mn |
| Jun 30, 2022 | 130.73 Mn |
| Mar 31, 2022 | 126.36 Mn |
| Dec 31, 2021 | 135.07 Mn |
| Sep 30, 2021 | 128.68 Mn |
API Access
F5 Cost of Revenue 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=cost-of-revenue&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();