Extreme Networks (EXTR) Inventory (2011 - 2026)
Extreme Networks' Inventory was $100.03 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 6.7% from $93.73 million a year earlier and up 43.0% from the prior quarter.
Extreme Networks (EXTR) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Inventory at Extreme Networks came in at $69.95 million, down 31.8% from FY2025.
- 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 Q1 2027 figure marks the highest quarterly Inventory since fiscal Q4 2025.
- Compared with a year earlier, Inventory was higher in 1 of the last eight quarters, with an average decline of 26.1%.
- The best year-over-year quarter for Inventory over five years was fiscal Q3 2024 (growth of 163.6%); the worst was fiscal Q3 2025 (a decline of 37.6%).
- Per Business Quant data, EXTR's Inventory in the three fiscal quarters before Q1 2027 was $69.95 million (Q4 2026), $76.63 million (Q3 2026) and $83.59 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 14.54 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | 3.21 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 21.29 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | 7.68 Bn |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | 3.02 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 1.70 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 1.78 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Extreme Networks | 3.39 Bn | 2.50 Bn | 211.94 Mn | 100.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.03 Mn |
| 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 |
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_KEY
import 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();