F5 (FFIV) Return on Sales [ROS] (2009 - 2026)
F5's Return on Sales [ROS] came in at 24.65% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.50 percentage points from 25.16% a year earlier but up 2.60 percentage points from the prior quarter.
F5 (FFIV) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, F5 reported Return on Sales [ROS] of 24.54%, down 0.30 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 24.80%, up 1.42 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three fiscal years, with a five-year change of +8.12 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 23.39% in FY2024 (+6.59 pp), 16.80% in FY2023 (+1.82 pp), 14.98% in FY2022 (-0.16 pp) and 15.13% in FY2021 (-1.55 pp).
- The five-year range for quarterly Return on Sales [ROS] is 11.77% (fiscal Q2 2022) to 26.76% (fiscal Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.76 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2024 (a gain of 10.73 percentage points), and the weakest in fiscal Q1 2023 (a drop of 3.59 percentage points).
- Business Quant data shows FFIV's Return on Sales [ROS] at 22.05% (Q2 2026), 26.04% (Q1 2026) and 25.39% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | F5 | 25.80 Bn | 20.21 Bn | 711.51 Mn | 24.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.65% |
| Mar 31, 2026 | 22.05% |
| Dec 31, 2025 | 26.04% |
| Sep 30, 2025 | 25.39% |
| Jun 30, 2025 | 25.16% |
| Mar 31, 2025 | 21.73% |
| Dec 31, 2024 | 26.76% |
| Sep 30, 2024 | 25.58% |
| Jun 30, 2024 | 23.45% |
| Mar 31, 2024 | 20.54% |
| Dec 31, 2023 | 23.75% |
| Sep 30, 2023 | 24.29% |
| Jun 30, 2023 | 14.74% |
| Mar 31, 2023 | 15.08% |
| Dec 31, 2022 | 13.02% |
| Sep 30, 2022 | 15.36% |
| Jun 30, 2022 | 15.93% |
| Mar 31, 2022 | 11.77% |
| Dec 31, 2021 | 16.61% |
| Sep 30, 2021 | 18.53% |
F5 Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();