F5 (FFIV) Gross Margin (2009 - 2026)
F5's Gross Margin was 82.25% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.29 percentage points from 80.95% a year earlier and up 0.84 percentage points from the prior quarter.
F5 (FFIV) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, F5's Gross Margin was 81.87% through Jun 30, 2026, up 0.84 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 81.41%, up 1.22 percentage points from FY2024.
- Gross Margin shows a five-year change of -1.24 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Gross Margin was 80.20% in FY2024 (+1.29 pp), 78.91% in FY2023 (-1.07 pp), 79.98% in FY2022 (-1.07 pp) and 81.06% in FY2021 (-1.59 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Gross Margin since fiscal Q2 2020.
- Compared with a year earlier, Gross Margin was higher in seven of the last eight quarters, with an average year-over-year change of +0.92 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q1 2024 (a gain of 2.44 percentage points); the worst was fiscal Q1 2023 (a drop of 2.47 percentage points).
- Per Business Quant data, FFIV's Gross Margin in the three fiscal quarters before Q3 2026 was 81.41% (Q2 2026), 81.55% (Q1 2026) and 82.24% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 78.59% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 60.42% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 79.63% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 0.03% |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 82.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.25% |
| Mar 31, 2026 | 81.41% |
| Dec 31, 2025 | 81.55% |
| Sep 30, 2025 | 82.24% |
| Jun 30, 2025 | 80.95% |
| Mar 31, 2025 | 80.72% |
| Dec 31, 2024 | 81.67% |
| Sep 30, 2024 | 80.75% |
| Jun 30, 2024 | 80.38% |
| Mar 31, 2024 | 79.29% |
| Dec 31, 2023 | 80.31% |
| Sep 30, 2023 | 80.06% |
| Jun 30, 2023 | 79.84% |
| Mar 31, 2023 | 77.86% |
| Dec 31, 2022 | 77.87% |
| Sep 30, 2022 | 78.93% |
| Jun 30, 2022 | 80.62% |
| Mar 31, 2022 | 80.08% |
| Dec 31, 2021 | 80.34% |
| Sep 30, 2021 | 81.13% |
F5 Gross Margin 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=gross-margin&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();