Amcon Distributing (DIT) Cost of Revenue (2010 - 2026)
Amcon Distributing (DIT) recorded Cost of Revenue of $785.54 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.8% from $690 million a year earlier and up 16.9% from the prior quarter.
Amcon Distributing (DIT) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Amcon Distributing's Cost of Revenue came in at $2.84 billion as of Jun 30, 2026, up 7.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.63 billion, up 3.9% from FY2024.
- Annual Cost of Revenue has increased for eight straight fiscal years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $2.53 billion in FY2024 (+6.7%), $2.37 billion in FY2023 (+25.8%), $1.88 billion in FY2022 (+19.8%) and $1.57 billion in FY2021 (+9.6%).
- The fiscal Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q3 2010.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 0.0% (fiscal Q4 2025) to 48.9% (fiscal Q2 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $672.16 million (Q2 2026), $682.01 million (Q1 2026) and $697.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 61.52 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.99 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 26.76 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 4.44 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 2.79 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 8.61 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 2.86 Bn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 785.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 785.54 Mn |
| Mar 31, 2026 | 672.16 Mn |
| Dec 31, 2025 | 682.01 Mn |
| Sep 30, 2025 | 697.60 Mn |
| Jun 30, 2025 | 690.00 Mn |
| Mar 31, 2025 | 576.48 Mn |
| Dec 31, 2024 | 664.38 Mn |
| Sep 30, 2024 | 697.51 Mn |
| Jun 30, 2024 | 669.89 Mn |
| Mar 31, 2024 | 559.57 Mn |
| Dec 31, 2023 | 601.66 Mn |
| Sep 30, 2023 | 644.65 Mn |
| Jun 30, 2023 | 649.62 Mn |
| Mar 31, 2023 | 543.86 Mn |
| Dec 31, 2022 | 531.02 Mn |
| Sep 30, 2022 | 605.32 Mn |
| Jun 30, 2022 | 516.91 Mn |
| Mar 31, 2022 | 365.21 Mn |
| Dec 31, 2021 | 395.64 Mn |
| Sep 30, 2021 | 422.23 Mn |
Amcon Distributing Cost of Revenue 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=cost-of-revenue&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();