Extreme Networks (EXTR) Operating Leases (2019 - 2026)
Extreme Networks (EXTR) recorded Operating Leases of $19.5 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 42.6% from $33.99 million a year earlier and down 25.5% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Operating Leases (2019 - 2026) Analysis & Trends
Starting with fiscal Q1 2020, Extreme Networks' Operating Leases history includes 28 quarters.
- Annual Operating Leases has a five-year compound annual growth rate of -9.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $33.99 million in FY2025 (-18.0%), $41.47 million in FY2024 (+30.2%), $31.85 million in FY2023 (-4.2%) and $33.26 million in FY2022 (+2.3%).
- The fiscal Q4 2026 figure is the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined for eight consecutive quarters, with an average decline of 20.4% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 44.8% in fiscal Q2 2024, against a decline of 42.6% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $26.17 million (Q3 2026), $29.03 million (Q2 2026) and $31.36 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Extreme Networks | 2.91 Bn | 2.06 Bn | 210.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.50 Mn |
| Mar 31, 2026 | 26.17 Mn |
| Dec 31, 2025 | 29.03 Mn |
| Sep 30, 2025 | 31.36 Mn |
| Jun 30, 2025 | 33.99 Mn |
| Mar 31, 2025 | 35.85 Mn |
| Dec 31, 2024 | 37.99 Mn |
| Sep 30, 2024 | 40.14 Mn |
| Jun 30, 2024 | 41.47 Mn |
| Mar 31, 2024 | 42.25 Mn |
| Dec 31, 2023 | 43.85 Mn |
| Sep 30, 2023 | 40.72 Mn |
| Jun 30, 2023 | 31.85 Mn |
| Mar 31, 2023 | 33.45 Mn |
| Dec 31, 2022 | 30.28 Mn |
| Sep 30, 2022 | 31.29 Mn |
| Jun 30, 2022 | 33.26 Mn |
| Mar 31, 2022 | 23.92 Mn |
| Dec 31, 2021 | 25.44 Mn |
| Sep 30, 2021 | 28.74 Mn |
API Access
Extreme Networks Operating Leases 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=operating-leases&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();