Amcon Distributing (DIT) Revenue (2010 - 2026)
Amcon Distributing's Revenue was $835.34 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.9% from $739.62 million a year earlier and up 16.7% from the prior quarter.
Amcon Distributing (DIT) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amcon Distributing's Revenue was $3.03 billion through Jun 30, 2026, up 7.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.82 billion, up 3.9% from FY2024.
- Revenue has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $2.71 billion in FY2024 (+6.7%), $2.54 billion in FY2023 (+26.3%), $2.01 billion in FY2022 (+20.2%) and $1.67 billion in FY2021 (+9.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Revenue in data going back to fiscal Q3 2010.
- Compared with a year earlier, Revenue has increased for three straight quarters, with growth averaging 6.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 0.0% (fiscal Q4 2025) to 49.3% (fiscal Q2 2023).
- Per Business Quant data, DIT's Revenue in the three fiscal quarters before Q3 2026 was $715.65 million (Q2 2026), $730.06 million (Q1 2026) and $746.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 835.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 835.34 Mn |
| Mar 31, 2026 | 715.65 Mn |
| Dec 31, 2025 | 730.06 Mn |
| Sep 30, 2025 | 746.30 Mn |
| Jun 30, 2025 | 739.62 Mn |
| Mar 31, 2025 | 619.50 Mn |
| Dec 31, 2024 | 711.27 Mn |
| Sep 30, 2024 | 746.29 Mn |
| Jun 30, 2024 | 717.85 Mn |
| Mar 31, 2024 | 601.88 Mn |
| Dec 31, 2023 | 644.96 Mn |
| Sep 30, 2023 | 692.52 Mn |
| Jun 30, 2023 | 696.49 Mn |
| Mar 31, 2023 | 584.99 Mn |
| Dec 31, 2022 | 565.99 Mn |
| Sep 30, 2022 | 645.75 Mn |
| Jun 30, 2022 | 550.58 Mn |
| Mar 31, 2022 | 391.89 Mn |
| Dec 31, 2021 | 422.57 Mn |
| Sep 30, 2021 | 450.81 Mn |
Amcon Distributing 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=revenue&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();