F5 (FFIV) Capital Expenditures (2009 - 2026)
F5's Capital Expenditures was $26.84 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 66.3% from $16.14 million a year earlier but down 24.7% from the prior quarter.
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Analysis
F5 (FFIV) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Capital Expenditures at F5 came in at $90.55 million, up 109.3% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of 24.2% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $43.26 million in FY2025 (+42.2%), $30.41 million in FY2024 (-43.9%), $54.18 million in FY2023 (+61.1%) and $33.62 million in FY2022 (+9.7%).
- Quarterly Capital Expenditures has moved between $5.23 million (fiscal Q2 2022) and $35.64 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Capital Expenditures has increased for seven straight quarters, with growth averaging 86.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q3 2026 (growth of 317.2%); the worst was fiscal Q3 2024 (a decline of 61.0%).
- Per Business Quant data, FFIV's Capital Expenditures in the three fiscal quarters before Q4 2026 was $35.64 million (Q3 2026), $18.35 million (Q2 2026) and $9.72 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 7.55 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 64.20 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 10.87 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 199.84 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 2.47 Mn |
| 10 | F5 | 17.64 Bn | 12.05 Bn | 711.51 Mn | 35.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.64 Mn |
| Mar 31, 2026 | 18.35 Mn |
| Dec 31, 2025 | 9.72 Mn |
| Sep 30, 2025 | 16.14 Mn |
| Jun 30, 2025 | 8.54 Mn |
| Mar 31, 2025 | 10.50 Mn |
| Dec 31, 2024 | 8.07 Mn |
| Sep 30, 2024 | 6.06 Mn |
| Jun 30, 2024 | 5.85 Mn |
| Mar 31, 2024 | 9.46 Mn |
| Dec 31, 2023 | 9.05 Mn |
| Sep 30, 2023 | 15.38 Mn |
| Jun 30, 2023 | 15.01 Mn |
| Mar 31, 2023 | 10.69 Mn |
| Dec 31, 2022 | 13.10 Mn |
| Sep 30, 2022 | 8.51 Mn |
| Jun 30, 2022 | 9.33 Mn |
| Mar 31, 2022 | 5.23 Mn |
| Dec 31, 2021 | 10.56 Mn |
| Sep 30, 2021 | 7.12 Mn |
API Access
F5 Capital Expenditures 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=capital-expenditures&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();