Extreme Networks (EXTR) Inventory (2011 - 2026)
Extreme Networks' Inventory was $69.95 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 31.8% from $102.58 million a year earlier and down 8.7% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Inventory (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Extreme Networks has reported Inventory for 61 quarters.
- Inventory shows a five-year compound annual growth rate of 16.3% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $102.58 million in FY2025 (-27.3%), $141.03 million in FY2024 (+58.4%), $89.02 million in FY2023 (+80.8%) and $49.23 million in FY2022 (+49.7%).
- The fiscal Q4 2026 figure marks the lowest quarterly Inventory since fiscal Q2 2023.
- Compared with a year earlier, Inventory has declined for seven straight quarters, with an average decline of 21.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q3 2024 (growth of 163.6%); the worst was fiscal Q1 2022 (a decline of 41.9%).
- Per Business Quant data, EXTR's Inventory in the three fiscal quarters before Q4 2026 was $76.63 million (Q3 2026), $83.59 million (Q2 2026) and $93.73 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 8.43 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 1.57 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.51 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Extreme Networks | 2.91 Bn | 2.06 Bn | 210.49 Mn | 69.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.95 Mn |
| Mar 31, 2026 | 76.63 Mn |
| Dec 31, 2025 | 83.59 Mn |
| Sep 30, 2025 | 93.73 Mn |
| Jun 30, 2025 | 102.58 Mn |
| Mar 31, 2025 | 115.74 Mn |
| Dec 31, 2024 | 132.28 Mn |
| Sep 30, 2024 | 143.56 Mn |
| Jun 30, 2024 | 141.03 Mn |
| Mar 31, 2024 | 185.36 Mn |
| Dec 31, 2023 | 152.52 Mn |
| Sep 30, 2023 | 100.82 Mn |
| Jun 30, 2023 | 89.02 Mn |
| Mar 31, 2023 | 70.31 Mn |
| Dec 31, 2022 | 63.76 Mn |
| Sep 30, 2022 | 51.77 Mn |
| Jun 30, 2022 | 49.23 Mn |
| Mar 31, 2022 | 37.74 Mn |
| Dec 31, 2021 | 37.18 Mn |
| Sep 30, 2021 | 32.44 Mn |
API Access
Extreme Networks Inventory 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=inventory&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();