Amcon Distributing (DIT) Return on Sales [ROS] (2010 - 2026)
Amcon Distributing (DIT) reported Return on Sales [ROS] of 0.75% for 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Return on Sales [ROS] came in at 0.44%, 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.
- Return on Sales [ROS] has declined for three consecutive fiscal years, with a five-year change of -0.15 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 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 ranks as the highest quarterly Return on Sales [ROS] since fiscal Q3 2024.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -0.16 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 0.44 percentage points); the low point was fiscal Q2 2025 (a drop of 0.48 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -0.05% (Q2 2026), 0.54% (Q1 2026) and 0.48% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 10.29% |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();