F5 (FFIV) Return on Capital Employed [ROCE] (2010 - 2026)
F5's Return on Capital Employed [ROCE] came in at 16.60% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.25 percentage points from 16.85% a year earlier and down 0.26 percentage points from the prior quarter.
F5 (FFIV) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), F5's Return on Capital Employed [ROCE] was 17.59%, up 0.88 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last four fiscal years, with a five-year change of +3.31 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 16.71% in FY2024 (+4.24 pp), 12.47% in FY2023 (+0.22 pp), 12.25% in FY2022 (+0.81 pp) and 11.43% in FY2021 (-2.85 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 10.44% (fiscal Q1 2023) to 16.86% (fiscal Q2 2026).
- Year-over-year, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +1.03 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2024 (a gain of 5.12 percentage points), and the weakest in fiscal Q3 2023 (a drop of 1.79 percentage points).
- Business Quant data shows FFIV's Return on Capital Employed [ROCE] at 16.86% (Q2 2026), 16.54% (Q1 2026) and 16.64% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -1.83% |
| 10 | F5 | 25.21 Bn | 19.62 Bn | 711.51 Mn | 16.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.60% |
| Mar 31, 2026 | 16.86% |
| Dec 31, 2025 | 16.54% |
| Sep 30, 2025 | 16.64% |
| Jun 30, 2025 | 16.85% |
| Mar 31, 2025 | 16.40% |
| Dec 31, 2024 | 16.77% |
| Sep 30, 2024 | 16.37% |
| Jun 30, 2024 | 16.21% |
| Mar 31, 2024 | 15.00% |
| Dec 31, 2023 | 14.46% |
| Sep 30, 2023 | 12.73% |
| Jun 30, 2023 | 11.09% |
| Mar 31, 2023 | 11.36% |
| Dec 31, 2022 | 10.44% |
| Sep 30, 2022 | 12.20% |
| Jun 30, 2022 | 12.88% |
| Mar 31, 2022 | 12.44% |
| Dec 31, 2021 | 10.81% |
| Sep 30, 2021 | 11.26% |
F5 Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();