Digi International (DGII) Long-Term Debt Repayments (2010 - 2026)
Digi International's Long-Term Debt Repayments was $35 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 16.7% from $30 million a year earlier and up 34.6% from the prior quarter.
Digi International (DGII) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digi International's Long-Term Debt Repayments was $116 million through Jun 30, 2026, up 3.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $114.3 million, down 62.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $304.73 million in FY2024 (+737.7%), $36.38 million in FY2023 (-75.4%), $148.12 million in FY2022 (+848.0%) and $15.62 million in FY2021 (-72.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q1 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in six of the last eight quarters, with growth averaging 36.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2022 (growth of 528.0%); the worst was fiscal Q1 2023 (a decline of 95.5%).
- Per Business Quant data, DGII's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $26 million (Q2 2026), $24 million (Q1 2026) and $31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | - |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 300.00 Mn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | -67.19 Mn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Digi International | 2.84 Bn | 2.73 Bn | 89.93 Mn | 35.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.00 Mn |
| Mar 31, 2026 | 26.00 Mn |
| Dec 31, 2025 | 24.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 25.00 Mn |
| Dec 31, 2024 | 28.30 Mn |
| Sep 30, 2024 | 28.50 Mn |
| Jun 30, 2024 | 20.20 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 233.03 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 4.38 Mn |
| Sep 30, 2022 | 18.75 Mn |
| Jun 30, 2022 | 20.00 Mn |
| Mar 31, 2022 | 11.25 Mn |
| Dec 31, 2021 | 98.12 Mn |
| Sep 30, 2021 | -1,000.00 |
Digi International 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=DGII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "DGII", "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=DGII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();