Amcon Distributing (DIT) Gross Margin (2010 - 2026)
Amcon Distributing (DIT) reported Gross Margin of 5.96% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.75 percentage points from 6.71% a year earlier and down 0.11 percentage points from the prior quarter.
Amcon Distributing (DIT) Gross Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Gross Margin came in at 6.28%, down 0.41 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 6.68%, down 0.04 percentage points from FY2024.
- Gross Margin has a five-year change of +0.92 percentage points (FY2020 to FY2025).
- By fiscal year, Gross Margin came in at 6.73% in FY2024 (unchanged), 6.73% in FY2023 (+0.37 pp), 6.35% in FY2022 (+0.34 pp) and 6.01% in FY2021 (+0.25 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Gross Margin since fiscal Q3 2021.
- Year over year, Gross Margin has now declined in each of the last four quarters, with an average year-over-year change of -0.27 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was fiscal Q2 2022 (a gain of 0.74 percentage points); the low point was fiscal Q2 2026 (a drop of 0.87 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 6.08% (Q2 2026), 6.58% (Q1 2026) and 6.52% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 26.14% |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 12.77% |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 18.69% |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 22.70% |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 32.60% |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 21.82% |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 42.91% |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 18.22% |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 37.05% |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 5.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.96% |
| Mar 31, 2026 | 6.08% |
| Dec 31, 2025 | 6.58% |
| Sep 30, 2025 | 6.52% |
| Jun 30, 2025 | 6.71% |
| Mar 31, 2025 | 6.95% |
| Dec 31, 2024 | 6.59% |
| Sep 30, 2024 | 6.54% |
| Jun 30, 2024 | 6.68% |
| Mar 31, 2024 | 7.03% |
| Dec 31, 2023 | 6.71% |
| Sep 30, 2023 | 6.91% |
| Jun 30, 2023 | 6.73% |
| Mar 31, 2023 | 7.03% |
| Dec 31, 2022 | 6.18% |
| Sep 30, 2022 | 6.26% |
| Jun 30, 2022 | 6.12% |
| Mar 31, 2022 | 6.81% |
| Dec 31, 2021 | 6.37% |
| Sep 30, 2021 | 6.34% |
Amcon Distributing Gross 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=gross-margin&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();