Extreme Networks (EXTR) Finished Goods (2015 - 2026)
Extreme Networks' Finished Goods was $45.22 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.7% from $57.77 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Finished Goods (2015 - 2026) Analysis & Trends
From fiscal Q4 2015 onward, Extreme Networks has reported Finished Goods for 45 quarters.
- Finished Goods shows a five-year compound annual growth rate of 10.1% (FY2021 to FY2026).
- In earlier fiscal years, Finished Goods was $57.77 million in FY2025 (-50.1%), $115.81 million in FY2024 (+48.1%), $78.18 million in FY2023 (+91.9%) and $40.73 million in FY2022 (+46.0%).
- The fiscal Q4 2026 figure marks the lowest quarterly Finished Goods since fiscal Q4 2022.
- Compared with a year earlier, Finished Goods has declined for eight straight quarters, with an average decline of 34.6% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was fiscal Q3 2024 (growth of 154.8%); the worst was fiscal Q3 2025 (a decline of 56.2%).
- Per Business Quant data, EXTR's Finished Goods in the three fiscal quarters before Q4 2026 was $47.01 million (Q3 2026), $49.02 million (Q2 2026) and $54.67 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Extreme Networks | 2.76 Bn | 1.90 Bn | 210.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.22 Mn |
| Mar 31, 2026 | 47.01 Mn |
| Dec 31, 2025 | 49.02 Mn |
| Sep 30, 2025 | 54.67 Mn |
| Jun 30, 2025 | 57.77 Mn |
| Mar 31, 2025 | 69.34 Mn |
| Dec 31, 2024 | 84.00 Mn |
| Sep 30, 2024 | 92.23 Mn |
| Jun 30, 2024 | 115.81 Mn |
| Mar 31, 2024 | 158.23 Mn |
| Dec 31, 2023 | 124.67 Mn |
| Sep 30, 2023 | 93.71 Mn |
| Jun 30, 2023 | 78.18 Mn |
| Mar 31, 2023 | 62.09 Mn |
| Dec 31, 2022 | 55.72 Mn |
| Sep 30, 2022 | 45.53 Mn |
| Jun 30, 2022 | 40.73 Mn |
| Mar 31, 2022 | 30.74 Mn |
| Dec 31, 2021 | 30.34 Mn |
| Sep 30, 2021 | 26.40 Mn |
API Access
Extreme Networks Finished Goods 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=finished-goods&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();