Extreme Networks (EXTR) Depreciation and Depletion (2013 - 2026)
Extreme Networks (EXTR) reported Depreciation and Depletion of $4.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.2% from $3.44 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Depreciation and Depletion (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Extreme Networks posted Depreciation and Depletion of $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%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Depreciation and Depletion since fiscal Q4 2024.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with an average decline of 11.3% 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 Q4 2026 came in at $3.81 million (Q3 2026), $3.99 million (Q2 2026) and $3.8 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 37.60 Mn |
| 10 | Extreme Networks | 2.81 Bn | 1.96 Bn | 210.49 Mn | 4.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 5.16 Mn |
API Access
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();