Extreme Networks (EXTR) Other Operating Expenses (2010 - 2026)
Extreme Networks (EXTR) reported Other Operating Expenses of $157.32 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.5% from $142.42 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Extreme Networks posted Other Operating Expenses of $595.74 million, up 8.6% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $548.45 million in FY2025 (+12.2%), $488.71 million in FY2024 (-10.5%), $546.31 million in FY2023 (+11.7%) and $488.99 million in FY2022 (+1.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Other Operating Expenses has now increased in each of the last five quarters, with growth averaging 13.5% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q4 2025 (growth of 74.6%); the low point was fiscal Q4 2024 (a decline of 45.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $145.2 million (Q3 2026), $146.06 million (Q2 2026) and $147.17 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn |
| 10 | Extreme Networks | 3.39 Bn | 2.50 Bn | 211.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 92.16 Mn |
| 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 |
API Access
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_KEYimport 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();