F5 (FFIV) Revenue (2009 - 2026)
F5 (FFIV) reported Revenue of $865.08 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.9% from $780.37 million a year earlier and up 6.6% from the prior quarter.
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Analysis
F5 (FFIV) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, F5's Revenue came in at $3.31 billion, up 9.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.09 billion, up 9.7% from FY2024.
- Revenue has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $2.82 billion in FY2024 (+0.1%), $2.81 billion in FY2023 (+4.4%), $2.7 billion in FY2022 (+3.6%) and $2.6 billion in FY2021 (+10.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Revenue in data going back to fiscal Q3 2009.
- Year over year, Revenue has now increased in each of the last eight quarters, with growth averaging 9.2% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q3 2025 (growth of 12.2%); the low point was fiscal Q2 2024 (a decline of 3.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $811.7 million (Q2 2026), $822.47 million (Q1 2026) and $810.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 865.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 865.08 Mn |
| Mar 31, 2026 | 811.70 Mn |
| Dec 31, 2025 | 822.47 Mn |
| Sep 30, 2025 | 810.09 Mn |
| Jun 30, 2025 | 780.37 Mn |
| Mar 31, 2025 | 731.12 Mn |
| Dec 31, 2024 | 766.49 Mn |
| Sep 30, 2024 | 746.67 Mn |
| Jun 30, 2024 | 695.50 Mn |
| Mar 31, 2024 | 681.35 Mn |
| Dec 31, 2023 | 692.60 Mn |
| Sep 30, 2023 | 706.97 Mn |
| Jun 30, 2023 | 702.64 Mn |
| Mar 31, 2023 | 703.18 Mn |
| Dec 31, 2022 | 700.38 Mn |
| Sep 30, 2022 | 700.03 Mn |
| Jun 30, 2022 | 674.49 Mn |
| Mar 31, 2022 | 634.22 Mn |
| Dec 31, 2021 | 687.10 Mn |
| Sep 30, 2021 | 682.00 Mn |
API Access
F5 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=revenue&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();