Amcon Distributing (DIT) Operating Expenses (2010 - 2026)
Amcon Distributing (DIT) posted Operating Expenses of $43.56 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.7% from $44.75 million a year earlier and down 0.7% from the prior quarter.
Amcon Distributing (DIT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Amcon Distributing was $176.67 million, up 1.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $175.67 million, up 6.9% from FY2024.
- Annual Operating Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior fiscal years, Amcon Distributing's Operating Expenses was $164.37 million in FY2024 (+13.5%), $144.88 million in FY2023 (+37.8%), $105.12 million in FY2022 (+27.1%) and $82.72 million in FY2021 (+5.2%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2023, with growth of 57.5%; the weakest was fiscal Q3 2026, with a decline of 2.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $43.87 million (Q2 2026), $44.11 million (Q1 2026) and $45.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 43.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.56 Mn |
| Mar 31, 2026 | 43.87 Mn |
| Dec 31, 2025 | 44.11 Mn |
| Sep 30, 2025 | 45.13 Mn |
| Jun 30, 2025 | 44.75 Mn |
| Mar 31, 2025 | 42.57 Mn |
| Dec 31, 2024 | 43.22 Mn |
| Sep 30, 2024 | 43.59 Mn |
| Jun 30, 2024 | 42.34 Mn |
| Mar 31, 2024 | 38.97 Mn |
| Dec 31, 2023 | 39.48 Mn |
| Sep 30, 2023 | 40.67 Mn |
| Jun 30, 2023 | 38.95 Mn |
| Mar 31, 2023 | 35.80 Mn |
| Dec 31, 2022 | 29.45 Mn |
| Sep 30, 2022 | 32.43 Mn |
| Jun 30, 2022 | 26.77 Mn |
| Mar 31, 2022 | 22.73 Mn |
| Dec 31, 2021 | 23.17 Mn |
| Sep 30, 2021 | 22.31 Mn |
Amcon Distributing 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=operating-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();