Extreme Networks (EXTR) Other Operating Expenses (2010 - 2026)
Extreme Networks' Other Operating Expenses was $97.42 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.0% from $86.96 million a year earlier and up 9.0% from the prior quarter.
Extreme Networks (EXTR) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Other Operating Expenses at Extreme Networks came in at $366.03 million, up 11.0% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $329.61 million in FY2025 (-5.2%), $347.84 million in FY2024 (+2.5%), $339.34 million in FY2023 (+13.3%) and $299.45 million in FY2022 (+5.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Other Operating Expenses has increased for five straight quarters, with growth averaging 3.0% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q1 2024 (growth of 16.6%); the worst was fiscal Q4 2024 (a decline of 13.8%).
- Per Business Quant data, EXTR's Other Operating Expenses in the three fiscal quarters before Q4 2026 was $89.39 million (Q3 2026), $89.8 million (Q2 2026) and $89.42 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Extreme Networks | 2.81 Bn | 1.96 Bn | 210.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.42 Mn |
| Mar 31, 2026 | 89.39 Mn |
| Dec 31, 2025 | 89.80 Mn |
| Sep 30, 2025 | 89.42 Mn |
| Jun 30, 2025 | 86.96 Mn |
| Mar 31, 2025 | 80.28 Mn |
| Dec 31, 2024 | 80.48 Mn |
| Sep 30, 2024 | 81.90 Mn |
| Jun 30, 2024 | 81.53 Mn |
| Mar 31, 2024 | 88.22 Mn |
| Dec 31, 2023 | 85.66 Mn |
| Sep 30, 2023 | 92.43 Mn |
| Jun 30, 2023 | 94.53 Mn |
| Mar 31, 2023 | 84.47 Mn |
| Dec 31, 2022 | 81.04 Mn |
| Sep 30, 2022 | 79.30 Mn |
| Jun 30, 2022 | 81.95 Mn |
| Mar 31, 2022 | 73.89 Mn |
| Dec 31, 2021 | 72.66 Mn |
| Sep 30, 2021 | 70.96 Mn |
Extreme Networks Other Operating Expenses 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=other-operating-expenses&ticker=EXTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();