Amcon Distributing (DIT) Cash & Equivalents (2010 - 2026)
Amcon Distributing (DIT) recorded Cash & Equivalents of $636,644 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 23.0% from $826,322 a year earlier and down 1.0% from the prior quarter.
Amcon Distributing (DIT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amcon Distributing reported Cash & Equivalents of $744,613, up 10.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $672,788 in FY2024 (-14.9%), $790,931 in FY2023 (+83.3%), $431,576 in FY2022 (-16.9%) and $519,591 in FY2021 (-21.4%).
- The fiscal Q3 2026 figure is the lowest quarterly Cash & Equivalents since fiscal Q1 2025.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 5.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 120.4% in fiscal Q1 2024, against a decline of 46.2% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $643,064 (Q2 2026), $778,753 (Q1 2026) and $744,613 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 636,644.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 636,644.00 |
| Mar 31, 2026 | 643,064.00 |
| Dec 31, 2025 | 778,753.00 |
| Sep 30, 2025 | 744,613.00 |
| Jun 30, 2025 | 826,322.00 |
| Mar 31, 2025 | 685,854.00 |
| Dec 31, 2024 | 535,862.00 |
| Sep 30, 2024 | 672,788.00 |
| Jun 30, 2024 | 719,342.00 |
| Mar 31, 2024 | 951,521.00 |
| Dec 31, 2023 | 996,695.00 |
| Sep 30, 2023 | 790,931.00 |
| Jun 30, 2023 | 739,013.00 |
| Mar 31, 2023 | 781,761.00 |
| Dec 31, 2022 | 452,142.00 |
| Sep 30, 2022 | 431,576.00 |
| Jun 30, 2022 | 600,936.00 |
| Mar 31, 2022 | 527,555.00 |
| Dec 31, 2021 | 840,961.00 |
| Sep 30, 2021 | 519,591.00 |
Amcon Distributing Cash & Equivalents 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-and-equivalents&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();