Amcon Distributing (DIT) Interest Expenses (2010 - 2026)
Amcon Distributing's Interest Expenses was $2.59 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.0% from $2.67 million a year earlier but up 16.3% from the prior quarter.
Amcon Distributing (DIT) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amcon Distributing's Interest Expenses was $10.14 million through Jun 30, 2026, down 5.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $10.44 million, up 0.3% from FY2024.
- Interest Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 43.9% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $10.41 million in FY2024 (+21.8%), $8.55 million in FY2023 (+280.1%), $2.25 million in FY2022 (+67.9%) and $1.34 million in FY2021 (-20.9%).
- Quarterly Interest Expenses has moved between $244,920 (fiscal Q2 2022) and $2.95 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses has declined for five straight quarters, with growth averaging 2.9% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q2 2023 (growth of 785.8%); the worst was fiscal Q2 2022 (a decline of 21.1%).
- Per Business Quant data, DIT's Interest Expenses in the three fiscal quarters before Q3 2026 was $2.23 million (Q2 2026), $2.66 million (Q1 2026) and $2.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 45.00 Mn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | - |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 3.00 Mn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 22.06 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 77.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Amcon Distributing | 57.43 Mn | 54.62 Mn | 49.80 Mn | 2.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.59 Mn |
| Mar 31, 2026 | 2.23 Mn |
| Dec 31, 2025 | 2.66 Mn |
| Sep 30, 2025 | 2.66 Mn |
| Jun 30, 2025 | 2.67 Mn |
| Mar 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 2.85 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 2.90 Mn |
| Mar 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 2.30 Mn |
| Jun 30, 2023 | 2.39 Mn |
| Mar 31, 2023 | 2.17 Mn |
| Dec 31, 2022 | 1.69 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 655,811.00 |
| Mar 31, 2022 | 244,920.00 |
| Dec 31, 2021 | 322,097.00 |
| Sep 30, 2021 | 322,658.00 |
Amcon Distributing Interest Expenses 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=interest-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();