Amcon Distributing (DIT) Net Margin (2010 - 2026)
Amcon Distributing's Net Margin came in at 0.32% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.14 percentage points from 0.18% a year earlier and up 0.63 percentage points from the prior quarter.
Amcon Distributing (DIT) Net Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amcon Distributing reported Net Margin of 0.06%, up 0.01 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.02%, down 0.14 percentage points from FY2024.
- Net Margin has declined in each of the last four fiscal years, with a five-year change of -0.34 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Net Margin was 0.16% in FY2024 (-0.30 pp), 0.46% in FY2023 (-0.37 pp), 0.83% in FY2022 (-0.10 pp) and 0.93% in FY2021 (+0.57 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Net Margin since fiscal Q4 2023.
- Year-over-year, Net Margin increased in two of the last eight quarters, with an average year-over-year change of -0.09 percentage points.
- The fastest year-over-year change in Net Margin over five years came in fiscal Q4 2021 (a gain of 0.75 percentage points), and the weakest in fiscal Q4 2022 (a drop of 0.69 percentage points).
- Business Quant data shows DIT's Net Margin at -0.30% (Q2 2026), 0.11% (Q1 2026) and 0.07% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 3.39% |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 3.11% |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 2.49% |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 1.84% |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 4.87% |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 4.82% |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 10.52% |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 2.61% |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 7.94% |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 0.32% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.32% |
| Mar 31, 2026 | -0.30% |
| Dec 31, 2025 | 0.11% |
| Sep 30, 2025 | 0.07% |
| Jun 30, 2025 | 0.18% |
| Mar 31, 2025 | -0.26% |
| Dec 31, 2024 | 0.05% |
| Sep 30, 2024 | 0.17% |
| Jun 30, 2024 | 0.21% |
| Mar 31, 2024 | 0.09% |
| Dec 31, 2023 | 0.17% |
| Sep 30, 2023 | 0.43% |
| Jun 30, 2023 | 0.57% |
| Mar 31, 2023 | 0.35% |
| Dec 31, 2022 | 0.46% |
| Sep 30, 2022 | 0.72% |
| Jun 30, 2022 | 1.10% |
| Mar 31, 2022 | 0.77% |
| Dec 31, 2021 | 0.71% |
| Sep 30, 2021 | 1.41% |
Amcon Distributing Net 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=net-margin&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();