Extreme Networks (EXTR) Other Accumulated Expenses (2009 - 2026)
Extreme Networks (EXTR) reported Other Accumulated Expenses of $135.77 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 124.8% from $60.38 million a year earlier and up 118.6% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Extreme Networks posted Other Accumulated Expenses of $62.11 million, down 38.2% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $100.55 million in FY2025 (+15.3%), $87.17 million in FY2024 (+35.3%), $64.44 million in FY2023 (-1.9%) and $65.71 million in FY2022 (+14.4%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2011.
- Year over year, Other Accumulated Expenses gained in three of the last eight quarters, with growth averaging 5.6%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2027 (growth of 124.8%); the low point was fiscal Q4 2026 (a decline of 38.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $62.11 million (Q4 2026), $58.36 million (Q3 2026) and $66.97 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn |
| 10 | Extreme Networks | 3.37 Bn | 2.48 Bn | 211.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 135.77 Mn |
| Jun 30, 2026 | 62.11 Mn |
| Mar 31, 2026 | 58.36 Mn |
| Dec 31, 2025 | 66.97 Mn |
| Sep 30, 2025 | 60.38 Mn |
| Jun 30, 2025 | 100.55 Mn |
| Mar 31, 2025 | 74.79 Mn |
| Dec 31, 2024 | 77.50 Mn |
| Sep 30, 2024 | 78.55 Mn |
| Jun 30, 2024 | 87.17 Mn |
| Mar 31, 2024 | 72.80 Mn |
| Dec 31, 2023 | 78.51 Mn |
| Sep 30, 2023 | 71.52 Mn |
| Jun 30, 2023 | 64.44 Mn |
| Mar 31, 2023 | 54.22 Mn |
| Dec 31, 2022 | 58.73 Mn |
| Sep 30, 2022 | 57.38 Mn |
| Jun 30, 2022 | 65.71 Mn |
| Mar 31, 2022 | 64.43 Mn |
| Dec 31, 2021 | 60.75 Mn |
API Access
Extreme Networks Other Accumulated 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-accumulated-expenses&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();