F5 (FFIV) EBITDA (2009 - 2026)
F5's EBITDA was $236.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.2% from $218.79 million a year earlier and up 16.3% from the prior quarter.
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Analysis
F5 (FFIV) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, F5's EBITDA was $909.53 million through Jun 30, 2026, up 8.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $858.35 million, up 12.1% from FY2024.
- EBITDA has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $765.58 million in FY2024 (+30.8%), $585.27 million in FY2023 (+12.7%), $519.4 million in FY2022 (+2.0%) and $509.45 million in FY2021 (+4.4%).
- Quarterly EBITDA has moved between $104.19 million (fiscal Q2 2022) and $238.8 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, EBITDA has increased for 12 straight quarters, with growth averaging 10.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2024 (growth of 63.3%); the worst was fiscal Q1 2023 (a decline of 17.8%).
- Per Business Quant data, FFIV's EBITDA in the three fiscal quarters before Q3 2026 was $203.59 million (Q2 2026), $238.8 million (Q1 2026) and $230.44 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 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 | 236.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.70 Mn |
| Mar 31, 2026 | 203.59 Mn |
| Dec 31, 2025 | 238.80 Mn |
| Sep 30, 2025 | 230.44 Mn |
| Jun 30, 2025 | 218.79 Mn |
| Mar 31, 2025 | 181.37 Mn |
| Dec 31, 2024 | 227.75 Mn |
| Sep 30, 2024 | 213.95 Mn |
| Jun 30, 2024 | 189.87 Mn |
| Mar 31, 2024 | 167.98 Mn |
| Dec 31, 2023 | 193.78 Mn |
| Sep 30, 2023 | 201.27 Mn |
| Jun 30, 2023 | 131.93 Mn |
| Mar 31, 2023 | 133.39 Mn |
| Dec 31, 2022 | 118.68 Mn |
| Sep 30, 2022 | 134.74 Mn |
| Jun 30, 2022 | 136.06 Mn |
| Mar 31, 2022 | 104.19 Mn |
| Dec 31, 2021 | 144.41 Mn |
| Sep 30, 2021 | 156.80 Mn |
API Access
F5 EBITDA 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=ebitda&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();