Amcon Distributing (DIT) Operating Margin (2010 - 2026)
Amcon Distributing's Operating Margin was 0.75% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.09 percentage points from 0.66% a year earlier and up 0.80 percentage points from the prior quarter.
Amcon Distributing (DIT) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amcon Distributing's Operating Margin was 0.44% through Jun 30, 2026, down 0.06 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.45%, down 0.22 percentage points from FY2024.
- Operating Margin has now declined for three consecutive fiscal years, with a five-year change of -0.15 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Operating Margin was 0.66% in FY2024 (-0.36 pp), 1.02% in FY2023 (-0.10 pp), 1.12% in FY2022 (+0.06 pp) and 1.07% in FY2021 (+0.47 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Margin since fiscal Q3 2024.
- Compared with a year earlier, Operating Margin was higher in two of the last eight quarters, with an average year-over-year change of -0.16 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2021 (a gain of 0.44 percentage points); the worst was fiscal Q2 2025 (a drop of 0.48 percentage points).
- Per Business Quant data, DIT's Operating Margin in the three fiscal quarters before Q3 2026 was -0.05% (Q2 2026), 0.54% (Q1 2026) and 0.48% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 937.42 Bn | 893.85 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 442.56 Bn | 365.84 Bn | 12.19 Bn | 3.97% |
| 3 | Sysco | 39.28 Bn | 33.52 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 38.65 Bn | 24.80 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 29.35 Bn | 24.02 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 25.54 Bn | 23.53 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 24.07 Bn | 20.70 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 17.05 Bn | 16.21 Bn | 1.68 Bn | 10.29% |
| 10 | Amcon Distributing | 57.15 Mn | 54.34 Mn | 49.80 Mn | 0.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.75% |
| Mar 31, 2026 | -0.05% |
| Dec 31, 2025 | 0.54% |
| Sep 30, 2025 | 0.48% |
| Jun 30, 2025 | 0.66% |
| Mar 31, 2025 | 0.07% |
| Dec 31, 2024 | 0.52% |
| Sep 30, 2024 | 0.70% |
| Jun 30, 2024 | 0.78% |
| Mar 31, 2024 | 0.56% |
| Dec 31, 2023 | 0.59% |
| Sep 30, 2023 | 1.04% |
| Jun 30, 2023 | 1.14% |
| Mar 31, 2023 | 0.91% |
| Dec 31, 2022 | 0.98% |
| Sep 30, 2022 | 1.24% |
| Jun 30, 2022 | 1.25% |
| Mar 31, 2022 | 1.01% |
| Dec 31, 2021 | 0.89% |
| Sep 30, 2021 | 1.39% |
Amcon Distributing Operating 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=operating-margin&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();