Extreme Networks (EXTR) Long-Term Debt Repayments (2013 - 2026)
Extreme Networks' Long-Term Debt Repayments was $3.75 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 50.0% from $2.5 million a year earlier and unchanged from the prior quarter.
Extreme Networks (EXTR) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Long-Term Debt Repayments at Extreme Networks came in at $15 million, up 50.0% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -27.3% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $10 million in FY2025 (unchanged), $10 million in FY2024 (-90.8%), $108.63 million in FY2023 (+184.9%) and $38.13 million in FY2022 (-48.5%).
- Quarterly Long-Term Debt Repayments has moved between $2.5 million (fiscal Q1 2024) and $37.13 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for four straight quarters, with growth averaging 25.0% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q4 2023 (growth of 419.3%); the worst was fiscal Q1 2024 (a decline of 93.3%).
- Per Business Quant data, EXTR's Long-Term Debt Repayments in the three fiscal quarters before Q4 2026 was $3.75 million (Q3 2026), $3.75 million (Q2 2026) and $3.75 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,969.67 Bn | 4,717.16 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 421.53 Bn | 357.46 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 298.98 Bn | 254.74 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 229.02 Bn | 182.47 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.76 Bn | 190.28 Bn | 7.58 Bn | - |
| 6 | Sony | 150.12 Bn | 87.38 Bn | 6.53 Bn | -67.19 Mn |
| 7 | Seagate Technology Holdings | 148.54 Bn | 143.53 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 125.77 Bn | 113.90 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 75.40 Bn | 53.28 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Extreme Networks | 2.95 Bn | 2.10 Bn | 210.49 Mn | 3.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.75 Mn |
| Mar 31, 2026 | 3.75 Mn |
| Dec 31, 2025 | 3.75 Mn |
| Sep 30, 2025 | 3.75 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.50 Mn |
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 9.50 Mn |
| Sep 30, 2022 | 37.13 Mn |
| Jun 30, 2022 | 7.13 Mn |
| Mar 31, 2022 | 7.13 Mn |
| Dec 31, 2021 | 7.13 Mn |
| Sep 30, 2021 | 16.75 Mn |
Extreme Networks Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EXTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();