Amcon Distributing (DIT) Retained Earnings (2010 - 2026)
Amcon Distributing's Retained Earnings was $109.24 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.1% from $108.1 million a year earlier and up 2.4% from the prior quarter.
Amcon Distributing (DIT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Retained Earnings at Amcon Distributing came in at $108.48 million, down 0.1% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $108.55 million in FY2024 (+3.5%), $104.85 million in FY2023 (+8.3%), $96.78 million in FY2022 (+15.8%) and $83.55 million in FY2021 (+17.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Compared with a year earlier, Retained Earnings was higher in six of the last eight quarters, with growth averaging 1.1%.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q3 2022 (growth of 19.4%); the worst was fiscal Q2 2026 (a decline of 0.2%).
- Per Business Quant data, DIT's Retained Earnings in the three fiscal quarters before Q3 2026 was $106.67 million (Q2 2026), $108.97 million (Q1 2026) and $108.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.31 Bn | 892.74 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 442.49 Bn | 365.77 Bn | 12.19 Bn | 28.59 Bn |
| 3 | Sysco | 39.37 Bn | 33.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 38.72 Bn | 24.87 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 29.24 Bn | 23.92 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 25.62 Bn | 23.62 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 23.99 Bn | 20.61 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 17.03 Bn | 16.19 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Amcon Distributing | 57.15 Mn | 54.34 Mn | 49.80 Mn | 109.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.24 Mn |
| Mar 31, 2026 | 106.67 Mn |
| Dec 31, 2025 | 108.97 Mn |
| Sep 30, 2025 | 108.48 Mn |
| Jun 30, 2025 | 108.10 Mn |
| Mar 31, 2025 | 106.90 Mn |
| Dec 31, 2024 | 108.60 Mn |
| Sep 30, 2024 | 108.55 Mn |
| Jun 30, 2024 | 107.43 Mn |
| Mar 31, 2024 | 106.05 Mn |
| Dec 31, 2023 | 105.63 Mn |
| Sep 30, 2023 | 104.85 Mn |
| Jun 30, 2023 | 102.00 Mn |
| Mar 31, 2023 | 98.17 Mn |
| Dec 31, 2022 | 96.21 Mn |
| Sep 30, 2022 | 96.78 Mn |
| Jun 30, 2022 | 92.30 Mn |
| Mar 31, 2022 | 86.34 Mn |
| Dec 31, 2021 | 83.44 Mn |
| Sep 30, 2021 | 83.55 Mn |
Amcon Distributing Retained Earnings 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=retained-earnings&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();