Amcon Distributing (DIT) Enterprise Value (2010 - 2026)
Amcon Distributing (DIT) posted Enterprise Value of $70.41 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.2% from $70.24 million a year earlier but down 19.2% from the prior quarter.
Amcon Distributing (DIT) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Amcon Distributing was $68.24 million, down 0.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $71.56 million, down 26.4% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In prior fiscal years, Amcon Distributing's Enterprise Value was $97.2 million in FY2024 (-26.6%), $132.38 million in FY2023 (+0.4%), $131.82 million in FY2022 (+61.5%) and $81.62 million in FY2021 (+139.6%).
- Quarterly Enterprise Value has run from a low of $70.24 million in fiscal Q3 2025 to a high of $132.38 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Enterprise Value increased in two of the last eight quarters, with an average decline of 19.6%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2021, with growth of 139.6%; the weakest was fiscal Q2 2025, with a decline of 33.4%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $87.19 million (Q2 2026), $71.32 million (Q1 2026) and $71.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 939.19 Bn | 895.62 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 441.58 Bn | 364.86 Bn | 12.19 Bn |
| 3 | Sysco | 39.34 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.51 Bn | 24.66 Bn | 7.86 Bn |
| 5 | Dollar General | 29.44 Bn | 24.12 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.43 Bn | 23.43 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.93 Bn | 20.55 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.38 Bn | 22.18 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.09 Bn | 16.26 Bn | 1.68 Bn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.41 Mn |
| Mar 31, 2026 | 87.19 Mn |
| Dec 31, 2025 | 71.32 Mn |
| Sep 30, 2025 | 71.56 Mn |
| Jun 30, 2025 | 70.24 Mn |
| Mar 31, 2025 | 81.90 Mn |
| Dec 31, 2024 | 88.84 Mn |
| Sep 30, 2024 | 97.20 Mn |
| Jun 30, 2024 | 94.32 Mn |
| Mar 31, 2024 | 123.05 Mn |
| Dec 31, 2023 | 129.86 Mn |
| Sep 30, 2023 | 132.38 Mn |
| Jun 30, 2023 | 130.80 Mn |
| Mar 31, 2023 | 110.77 Mn |
| Dec 31, 2022 | 119.50 Mn |
| Sep 30, 2022 | 131.82 Mn |
| Jun 30, 2022 | 104.12 Mn |
| Mar 31, 2022 | 90.29 Mn |
| Dec 31, 2021 | 115.43 Mn |
| Sep 30, 2021 | 81.62 Mn |
Amcon Distributing Enterprise Value 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=enterprise-value&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();