Amcon Distributing (DIT) EBITDA (2010 - 2026)
Amcon Distributing's EBITDA came in at $8.59 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 21.2% from $7.09 million a year earlier and up 307.8% from the prior quarter.
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Analysis
Amcon Distributing (DIT) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amcon Distributing reported EBITDA of $23.23 million, down 3.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $22.39 million, down 18.5% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $27.48 million in FY2024 (-18.1%), $33.54 million in FY2023 (+27.8%), $26.25 million in FY2022 (+25.5%) and $20.92 million in FY2021 (+71.5%).
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA since fiscal Q4 2023.
- Year-over-year, EBITDA increased in three of the last eight quarters, with an average decline of 12.8%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2022 (growth of 55.0%), and the weakest in fiscal Q2 2025 (a decline of 48.2%).
- Business Quant data shows DIT's EBITDA at $2.11 million (Q2 2026), $6.46 million (Q1 2026) and $6.08 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 8.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.59 Mn |
| Mar 31, 2026 | 2.11 Mn |
| Dec 31, 2025 | 6.46 Mn |
| Sep 30, 2025 | 6.08 Mn |
| Jun 30, 2025 | 7.09 Mn |
| Mar 31, 2025 | 2.92 Mn |
| Dec 31, 2024 | 6.31 Mn |
| Sep 30, 2024 | 7.76 Mn |
| Jun 30, 2024 | 8.04 Mn |
| Mar 31, 2024 | 5.63 Mn |
| Dec 31, 2023 | 6.04 Mn |
| Sep 30, 2023 | 9.80 Mn |
| Jun 30, 2023 | 10.01 Mn |
| Mar 31, 2023 | 7.14 Mn |
| Dec 31, 2022 | 6.59 Mn |
| Sep 30, 2022 | 9.13 Mn |
| Jun 30, 2022 | 7.81 Mn |
| Mar 31, 2022 | 4.76 Mn |
| Dec 31, 2021 | 4.54 Mn |
| Sep 30, 2021 | 7.06 Mn |
API Access
Amcon Distributing EBITDA 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=ebitda&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();