Extreme Networks (EXTR) Short term Debt (2013 - 2026)
Extreme Networks' Short term Debt was $19.34 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 35.5% from $14.27 million a year earlier but down 59.8% from the prior quarter.
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Analysis
Extreme Networks (EXTR) Short term Debt (2013 - 2026) Analysis & Trends
From fiscal Q2 2014 onward, Extreme Networks has reported Short term Debt for 51 quarters.
- Short term Debt shows a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In earlier fiscal years, Short term Debt was $14.27 million in FY2025 (+53.0%), $9.33 million in FY2024 (-72.8%), $34.33 million in FY2023 (+2.9%) and $33.35 million in FY2022 (+40.6%).
- Quarterly Short term Debt has moved between $9.33 million (fiscal Q1 2024) and $48.07 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Short term Debt has increased for eight straight quarters, with growth averaging 95.7% over the last eight quarters.
- The best year-over-year quarter for Short term Debt over five years was fiscal Q1 2026 (growth of 286.5%); the worst was fiscal Q3 2024 (a decline of 74.0%).
- Per Business Quant data, EXTR's Short term Debt in the three fiscal quarters before Q4 2026 was $48.07 million (Q3 2026), $16.8 million (Q2 2026) and $40.54 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 | 19.34 Mn |
| Mar 31, 2026 | 48.07 Mn |
| Dec 31, 2025 | 16.80 Mn |
| Sep 30, 2025 | 40.54 Mn |
| Jun 30, 2025 | 14.27 Mn |
| Mar 31, 2025 | 13.01 Mn |
| Dec 31, 2024 | 11.75 Mn |
| Sep 30, 2024 | 10.49 Mn |
| Jun 30, 2024 | 9.33 Mn |
| Mar 31, 2024 | 9.33 Mn |
| Dec 31, 2023 | 9.33 Mn |
| Sep 30, 2023 | 9.33 Mn |
| Jun 30, 2023 | 34.33 Mn |
| Mar 31, 2023 | 35.87 Mn |
| Dec 31, 2022 | 35.82 Mn |
| Sep 30, 2022 | 35.76 Mn |
| Jun 30, 2022 | 33.35 Mn |
| Mar 31, 2022 | 30.95 Mn |
| Dec 31, 2021 | 28.54 Mn |
| Sep 30, 2021 | 26.14 Mn |
API Access
Extreme Networks Short term Debt 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=short-term-debt&ticker=EXTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();