Amcon Distributing (DIT) Other Operating Expenses (2010 - 2026)
Amcon Distributing's Other Operating Expenses was $541,708 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 75.6% from $2.22 million a year earlier and down 78.2% from the prior quarter.
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Analysis
Amcon Distributing (DIT) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amcon Distributing's Other Operating Expenses was $8.07 million through Jun 30, 2026, down 18.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $9.84 million, up 3.6% from FY2024.
- Other Operating Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $9.5 million in FY2024 (+25.3%), $7.58 million in FY2023 (+107.9%), $3.64 million in FY2022 (+17.8%) and $3.09 million in FY2021 (-14.1%).
- The fiscal Q3 2026 figure marks the lowest quarterly Other Operating Expenses since fiscal Q2 2018.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last eight quarters, with an average decline of 8.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q3 2023 (growth of 130.5%); the worst was fiscal Q3 2026 (a decline of 75.6%).
- Per Business Quant data, DIT's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $2.49 million (Q2 2026), $2.51 million (Q1 2026) and $2.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 938.49 Bn | 894.93 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 441.98 Bn | 365.26 Bn | 12.19 Bn |
| 3 | Sysco | 39.26 Bn | 33.51 Bn | 4.13 Bn |
| 4 | Kroger | 38.63 Bn | 24.78 Bn | 7.86 Bn |
| 5 | Dollar General | 29.47 Bn | 24.15 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.50 Bn | 23.49 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.07 Bn | 20.70 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.45 Bn | 22.24 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.15 Bn | 16.31 Bn | 1.68 Bn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 541,708.00 |
| Mar 31, 2026 | 2.49 Mn |
| Dec 31, 2025 | 2.51 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 2.22 Mn |
| Mar 31, 2025 | 2.46 Mn |
| Dec 31, 2024 | 2.64 Mn |
| Sep 30, 2024 | 2.57 Mn |
| Jun 30, 2024 | 2.42 Mn |
| Mar 31, 2024 | 2.29 Mn |
| Dec 31, 2023 | 2.22 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 2.10 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 912,501.00 |
| Mar 31, 2022 | 818,222.00 |
| Dec 31, 2021 | 784,245.00 |
| Sep 30, 2021 | 797,627.00 |
API Access
Amcon Distributing Other Operating 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=other-operating-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();