Amcon Distributing (DIT) Cash from Operations (2010 - 2026)
Amcon Distributing (DIT) reported Cash from Operations of -$17.91 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$7.02 million a year earlier.
Amcon Distributing (DIT) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Cash from Operations came in at $15.24 million, down 46.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $18.67 million, down 72.5% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By fiscal year, Cash from Operations came in at $67.87 million in FY2024 (+244.1%), $19.72 million in FY2023 (-13.8%), $22.89 million in FY2022 (+9.3%) and $20.94 million in FY2021 (+37.7%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Cash from Operations since fiscal Q1 2025.
- Year over year, Cash from Operations gained in 1 of the last four quarters, with growth averaging 46.9%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q2 2023 (growth of 534.7%); the low point was fiscal Q2 2026 (a decline of 60.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $13.7 million (Q2 2026), -$11.7 million (Q1 2026) and $31.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 14.97 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.45 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.18 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 780.52 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 384.07 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 921.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 431.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 562.02 Mn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | -17.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.91 Mn |
| Mar 31, 2026 | 13.70 Mn |
| Dec 31, 2025 | -11.70 Mn |
| Sep 30, 2025 | 31.14 Mn |
| Jun 30, 2025 | -7.02 Mn |
| Mar 31, 2025 | 34.42 Mn |
| Dec 31, 2024 | -39.87 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 30, 2024 | -26.89 Mn |
| Mar 31, 2024 | 48.76 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 10.21 Mn |
| Jun 30, 2023 | -33.44 Mn |
| Mar 31, 2023 | 91.42 Mn |
| Dec 31, 2022 | -48.47 Mn |
| Sep 30, 2022 | 15.75 Mn |
| Jun 30, 2022 | -6.66 Mn |
| Mar 31, 2022 | 14.40 Mn |
| Dec 31, 2021 | -606,948.00 |
| Sep 30, 2021 | 8.21 Mn |
Amcon Distributing Cash from Operations 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=cash-from-operations&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();