Amcon Distributing (DIT) Shares Outstanding (Diluted) (2010 - 2026)
Amcon Distributing (DIT) posted Shares Outstanding (Diluted) of 943,918 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.9% from 926,584 a year earlier and up 1.4% from the prior quarter.
Amcon Distributing (DIT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Amcon Distributing's Shares Outstanding (Diluted) came in at 924,729, up 1.6% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior fiscal years, Amcon Distributing's Shares Outstanding (Diluted) was 910,173 in FY2024 (+1.8%), 893,775 in FY2023 (+2.2%), 874,593 in FY2022 (+2.6%) and 852,154 in FY2021 (unchanged).
- The fiscal Q3 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2018.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 19 quarters, with growth averaging 1.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.0% (fiscal Q4 2021) and 4.9% (fiscal Q1 2022) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 930,727 (Q2 2026), 927,152 (Q1 2026) and 924,729 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 524.62 Mn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 943,918.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 943,918.00 |
| Mar 31, 2026 | 930,727.00 |
| Dec 31, 2025 | 927,152.00 |
| Sep 30, 2025 | 924,729.00 |
| Jun 30, 2025 | 926,584.00 |
| Mar 31, 2025 | 922,892.00 |
| Dec 31, 2024 | 920,360.00 |
| Sep 30, 2024 | 910,173.00 |
| Jun 30, 2024 | 909,378.00 |
| Mar 31, 2024 | 912,044.00 |
| Dec 31, 2023 | 904,950.00 |
| Sep 30, 2023 | 893,775.00 |
| Jun 30, 2023 | 897,885.00 |
| Mar 31, 2023 | 888,672.00 |
| Dec 31, 2022 | 884,822.00 |
| Sep 30, 2022 | 874,593.00 |
| Jun 30, 2022 | 873,555.00 |
| Mar 31, 2022 | 868,126.00 |
| Dec 31, 2021 | 868,446.00 |
| Sep 30, 2021 | 852,154.00 |
Amcon Distributing Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();