Extreme Networks (EXTR) Depreciation and Depletion (2011 - 2026)
Extreme Networks (EXTR) reported Depreciation and Depletion of $4.14 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.0% from $3.8 million a year earlier but down 1.6% from the prior quarter.
Extreme Networks (EXTR) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Extreme Networks' Depreciation and Depletion came in at $16.15 million, up 10.9% year-over-year; for FY2026 (ended Jun 30, 2026), it was $15.81 million, up 7.5% from FY2025.
- Depreciation and Depletion has a five-year compound annual growth rate of -7.2% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $14.7 million in FY2025 (-39.1%), $24.13 million in FY2024 (+21.3%), $19.89 million in FY2023 (-1.6%) and $20.22 million in FY2022 (-12.0%).
- Five-year quarterly Depreciation and Depletion spans a low of $3.44 million in fiscal Q4 2025 and a high of $10.31 million in fiscal Q4 2024.
- Year over year, Depreciation and Depletion has now increased in each of the last four quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2024 (growth of 111.6%); the low point was fiscal Q4 2025 (a decline of 66.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.21 million (Q4 2026), $3.81 million (Q3 2026) and $3.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 4.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.14 Mn |
| Jun 30, 2026 | 4.21 Mn |
| Mar 31, 2026 | 3.81 Mn |
| Dec 31, 2025 | 3.99 Mn |
| Sep 30, 2025 | 3.80 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Sep 30, 2024 | 3.94 Mn |
| Jun 30, 2024 | 10.31 Mn |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 4.62 Mn |
| Sep 30, 2023 | 4.87 Mn |
| Jun 30, 2023 | 4.87 Mn |
| Mar 31, 2023 | 5.03 Mn |
| Dec 31, 2022 | 5.03 Mn |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 4.89 Mn |
| Mar 31, 2022 | 5.09 Mn |
| Dec 31, 2021 | 5.08 Mn |
Extreme Networks Depreciation and Depletion 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=depreciation-and-depletion&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();