F5 (FFIV) Research & Development (2009 - 2026)
F5 (FFIV) reported Research & Development of $164.66 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.8% from $136.35 million a year earlier and up 9.0% from the prior quarter.
F5 (FFIV) Research & Development (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, F5's Research & Development came in at $593.25 million, up 12.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $539.82 million, up 10.1% from FY2024.
- Research & Development has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- By fiscal year, Research & Development came in at $490.12 million in FY2024 (-9.3%), $540.29 million in FY2023 (-0.6%), $543.37 million in FY2022 (+6.0%) and $512.63 million in FY2021 (+16.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Research & Development in data going back to fiscal Q3 2009.
- Year over year, Research & Development has now increased in each of the last seven quarters, with growth averaging 9.6% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q3 2026 (growth of 20.8%); the low point was fiscal Q1 2024 (a decline of 16.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $151.04 million (Q2 2026), $141.16 million (Q1 2026) and $136.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 164.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.66 Mn |
| Mar 31, 2026 | 151.04 Mn |
| Dec 31, 2025 | 141.16 Mn |
| Sep 30, 2025 | 136.39 Mn |
| Jun 30, 2025 | 136.35 Mn |
| Mar 31, 2025 | 136.56 Mn |
| Dec 31, 2024 | 130.52 Mn |
| Sep 30, 2024 | 123.95 Mn |
| Jun 30, 2024 | 124.39 Mn |
| Mar 31, 2024 | 122.21 Mn |
| Dec 31, 2023 | 119.58 Mn |
| Sep 30, 2023 | 127.83 Mn |
| Jun 30, 2023 | 128.77 Mn |
| Mar 31, 2023 | 141.36 Mn |
| Dec 31, 2022 | 142.32 Mn |
| Sep 30, 2022 | 138.52 Mn |
| Jun 30, 2022 | 138.74 Mn |
| Mar 31, 2022 | 135.84 Mn |
| Dec 31, 2021 | 130.27 Mn |
| Sep 30, 2021 | 124.70 Mn |
F5 Research & Development 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=research-and-development&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();