Extreme Networks (EXTR) Long-Term Debt Repayments (2013 - 2026)
Extreme Networks' Long-Term Debt Repayments was $165 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with $3.75 million a year earlier.
Extreme Networks (EXTR) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Extreme Networks' Long-Term Debt Repayments was $176.25 million through Sep 30, 2026; for FY2026 (ended Jun 30, 2026), it was $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%).
- The fiscal Q1 2027 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q4 2018.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last seven quarters, with growth averaging 28.6%.
- 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 Q1 2027 was $3.75 million (Q4 2026), $3.75 million (Q3 2026) and $3.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 4.25 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 1.02 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 1.26 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 1.17 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Extreme Networks | 3.39 Bn | 2.50 Bn | 211.94 Mn | 165.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.00 Mn |
| 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 |
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();