F5 (FFIV) EBT (2009 - 2026)
F5's EBT came in at $226.2 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.2% from $213.02 million a year earlier and up 19.5% from the prior quarter.
F5 (FFIV) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, F5 reported EBT of $853.41 million, up 7.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $808.34 million, up 16.2% from FY2024.
- EBT has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Going back by fiscal year, EBT was $695.47 million in FY2024 (+43.1%), $485.99 million in FY2023 (+26.1%), $385.39 million in FY2022 (-0.4%) and $386.94 million in FY2021 (-2.4%).
- The fiscal Q3 2026 figure represents the highest quarterly EBT in data going back to fiscal Q3 2009.
- Year-over-year, EBT has increased for 14 consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- The fastest year-over-year change in EBT over five years came in fiscal Q1 2024 (growth of 81.8%), and the weakest in fiscal Q4 2022 (a decline of 19.3%).
- Business Quant data shows FFIV's EBT at $189.22 million (Q2 2026), $222.92 million (Q1 2026) and $215.07 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | -269.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 3.93 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 720.20 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -188.29 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 51.73 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 126.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 32.68 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 473.00 Mn |
| 10 | F5 | 24.89 Bn | 19.30 Bn | 711.51 Mn | 226.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.20 Mn |
| Mar 31, 2026 | 189.22 Mn |
| Dec 31, 2025 | 222.92 Mn |
| Sep 30, 2025 | 215.07 Mn |
| Jun 30, 2025 | 213.02 Mn |
| Mar 31, 2025 | 171.20 Mn |
| Dec 31, 2024 | 209.04 Mn |
| Sep 30, 2024 | 203.51 Mn |
| Jun 30, 2024 | 171.62 Mn |
| Mar 31, 2024 | 145.93 Mn |
| Dec 31, 2023 | 174.40 Mn |
| Sep 30, 2023 | 174.83 Mn |
| Jun 30, 2023 | 106.47 Mn |
| Mar 31, 2023 | 108.78 Mn |
| Dec 31, 2022 | 95.91 Mn |
| Sep 30, 2022 | 99.72 Mn |
| Jun 30, 2022 | 101.24 Mn |
| Mar 31, 2022 | 72.71 Mn |
| Dec 31, 2021 | 111.72 Mn |
| Sep 30, 2021 | 123.50 Mn |
F5 EBT 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=ebt&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();