Extreme Networks (EXTR) Capital Expenditures (2010 - 2026)
Extreme Networks (EXTR) recorded Capital Expenditures of $7.54 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 14.0% from $6.61 million a year earlier and up 17.8% from the prior quarter.
Extreme Networks (EXTR) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Extreme Networks reported Capital Expenditures of $27.94 million, up 13.1% from FY2025.
- Annual Capital Expenditures has increased for three straight fiscal years, with a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $24.71 million in FY2025 (+36.4%), $18.12 million in FY2024 (+31.3%), $13.8 million in FY2023 (-10.6%) and $15.43 million in FY2022 (-10.1%).
- The fiscal Q4 2026 figure is the highest quarterly Capital Expenditures since fiscal Q4 2018.
- On a year-over-year basis, Capital Expenditures has increased for three consecutive quarters, with growth averaging 27.0% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 80.1% in fiscal Q2 2024, against a decline of 47.2% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.4 million (Q3 2026), $7.1 million (Q2 2026) and $6.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 2.46 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 1.24 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 29.70 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 43.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 187.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 108.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 745.00 Mn |
| 10 | Extreme Networks | 2.76 Bn | 1.90 Bn | 210.49 Mn | 7.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 7.10 Mn |
| Sep 30, 2025 | 6.90 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 5.70 Mn |
| Dec 31, 2024 | 5.40 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | 3.68 Mn |
| Dec 31, 2023 | 5.64 Mn |
| Sep 30, 2023 | 4.31 Mn |
| Jun 30, 2023 | 5.17 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 3.13 Mn |
| Sep 30, 2022 | 3.14 Mn |
| Jun 30, 2022 | 4.30 Mn |
| Mar 31, 2022 | 4.48 Mn |
| Dec 31, 2021 | 3.24 Mn |
| Sep 30, 2021 | 3.41 Mn |
Extreme Networks 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=EXTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "EXTR", "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=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();