Amcon Distributing (DIT) Long-Term Debt Repayments (2010 - 2026)
Amcon Distributing (DIT) reported Long-Term Debt Repayments of $1.38 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.3% from $1.31 million a year earlier but down 3.4% from the prior quarter.
Amcon Distributing (DIT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Long-Term Debt Repayments came in at $5.49 million, up 1.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $5.26 million, up 39.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 58.1% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $3.77 million in FY2024 (+60.3%), $2.35 million in FY2023 (-52.2%), $4.91 million in FY2022 (+862.3%) and $510,177 in FY2021 (-4.2%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $136,961 in fiscal Q4 2021 and a high of $4.38 million in fiscal Q4 2022.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 39.2% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q1 2025 (growth of 173.2%); the low point was fiscal Q4 2023 (a decline of 69.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.43 million (Q2 2026), $1.36 million (Q1 2026) and $1.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 42.00 Mn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 1.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Mn |
| Mar 31, 2026 | 1.43 Mn |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.34 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 609,220.00 |
| Dec 31, 2023 | 490,518.00 |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 506,618.00 |
| Mar 31, 2023 | 302,545.00 |
| Dec 31, 2022 | 202,396.00 |
| Sep 30, 2022 | 4.38 Mn |
| Jun 30, 2022 | 246,972.00 |
| Mar 31, 2022 | 139,618.00 |
| Dec 31, 2021 | 138,284.00 |
| Sep 30, 2021 | 136,961.00 |
Amcon Distributing 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=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "DIT", "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=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();