Amcon Distributing (DIT) EBITDA Margin (2010 - 2026)
Amcon Distributing (DIT) recorded EBITDA Margin of 1.03% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.07 percentage points from 0.96% a year earlier and up 0.73 percentage points from the prior quarter.
Amcon Distributing (DIT) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Amcon Distributing's EBITDA Margin came in at 0.77% as of Jun 30, 2026, down 0.09 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.79%, down 0.22 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -0.01 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA Margin came in at 1.01% in FY2024 (-0.31 pp), 1.32% in FY2023 (+0.02 pp), 1.31% in FY2022 (+0.05 pp) and 1.25% in FY2021 (+0.45 pp).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA Margin since fiscal Q4 2024.
- On a year-over-year basis, EBITDA Margin rose in 1 of the last eight quarters, with an average year-over-year change of -0.17 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 0.43 percentage points in fiscal Q4 2021, against a drop of 0.46 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.29% (Q2 2026), 0.88% (Q1 2026) and 0.81% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 7.08% |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 4.89% |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 5.74% |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 4.93% |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 9.27% |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 10.59% |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 17.79% |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 5.33% |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 13.17% |
| 10 | Amcon Distributing | 57.43 Mn | 54.62 Mn | 49.80 Mn | 1.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03% |
| Mar 31, 2026 | 0.29% |
| Dec 31, 2025 | 0.88% |
| Sep 30, 2025 | 0.81% |
| Jun 30, 2025 | 0.96% |
| Mar 31, 2025 | 0.47% |
| Dec 31, 2024 | 0.89% |
| Sep 30, 2024 | 1.04% |
| Jun 30, 2024 | 1.12% |
| Mar 31, 2024 | 0.94% |
| Dec 31, 2023 | 0.94% |
| Sep 30, 2023 | 1.42% |
| Jun 30, 2023 | 1.44% |
| Mar 31, 2023 | 1.22% |
| Dec 31, 2022 | 1.16% |
| Sep 30, 2022 | 1.41% |
| Jun 30, 2022 | 1.42% |
| Mar 31, 2022 | 1.22% |
| Dec 31, 2021 | 1.07% |
| Sep 30, 2021 | 1.57% |
Amcon Distributing EBITDA Margin 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-margin&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();