F5 (FFIV) EBIT (2009 - 2026)
F5's EBIT came in at $213.27 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.6% from $196.32 million a year earlier and up 19.1% from the prior quarter.
F5 (FFIV) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, F5 reported EBIT of $812.13 million, up 8.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $765.95 million, up 16.3% from FY2024.
- EBIT has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- Going back by fiscal year, EBIT was $658.59 million in FY2024 (+39.4%), $472.57 million in FY2023 (+17.0%), $403.79 million in FY2022 (+2.5%) and $394.03 million in FY2021 (+0.4%).
- The five-year range for quarterly EBIT is $74.65 million (fiscal Q2 2022) to $214.19 million (fiscal Q1 2026).
- Year-over-year, EBIT has increased for 12 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in fiscal Q1 2024 (growth of 80.4%), and the weakest in fiscal Q1 2023 (a decline of 20.1%).
- Business Quant data shows FFIV's EBIT at $179.02 million (Q2 2026), $214.19 million (Q1 2026) and $205.65 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 46.78 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 107.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 444.11 Mn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 213.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.27 Mn |
| Mar 31, 2026 | 179.02 Mn |
| Dec 31, 2025 | 214.19 Mn |
| Sep 30, 2025 | 205.65 Mn |
| Jun 30, 2025 | 196.32 Mn |
| Mar 31, 2025 | 158.90 Mn |
| Dec 31, 2024 | 205.08 Mn |
| Sep 30, 2024 | 191.03 Mn |
| Jun 30, 2024 | 163.09 Mn |
| Mar 31, 2024 | 139.96 Mn |
| Dec 31, 2023 | 164.52 Mn |
| Sep 30, 2023 | 171.74 Mn |
| Jun 30, 2023 | 103.57 Mn |
| Mar 31, 2023 | 106.05 Mn |
| Dec 31, 2022 | 91.21 Mn |
| Sep 30, 2022 | 107.53 Mn |
| Jun 30, 2022 | 107.46 Mn |
| Mar 31, 2022 | 74.65 Mn |
| Dec 31, 2021 | 114.15 Mn |
| Sep 30, 2021 | 126.36 Mn |
F5 EBIT 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=ebit&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();