Amcon Distributing (DIT) Accumulated Expenses (2010 - 2026)
Amcon Distributing (DIT) recorded Accumulated Expenses of $15.98 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.3% from $16.52 million a year earlier but up 2.7% from the prior quarter.
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Analysis
Amcon Distributing (DIT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amcon Distributing reported Accumulated Expenses of $15.46 million, down 2.2% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $15.8 million in FY2024 (+5.9%), $14.92 million in FY2023 (+3.3%), $14.45 million in FY2022 (+26.0%) and $11.47 million in FY2021 (+38.1%).
- Quarterly Accumulated Expenses has ranged from $9.69 million in fiscal Q1 2022 to $16.59 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 56.0% in fiscal Q2 2023, against a decline of 16.7% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.55 million (Q2 2026), $14.47 million (Q1 2026) and $15.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.98 Mn |
| Mar 31, 2026 | 15.55 Mn |
| Dec 31, 2025 | 14.47 Mn |
| Sep 30, 2025 | 15.46 Mn |
| Jun 30, 2025 | 16.52 Mn |
| Mar 31, 2025 | 14.81 Mn |
| Dec 31, 2024 | 14.95 Mn |
| Sep 30, 2024 | 15.80 Mn |
| Jun 30, 2024 | 16.59 Mn |
| Mar 31, 2024 | 12.66 Mn |
| Dec 31, 2023 | 13.79 Mn |
| Sep 30, 2023 | 14.92 Mn |
| Jun 30, 2023 | 15.96 Mn |
| Mar 31, 2023 | 15.20 Mn |
| Dec 31, 2022 | 14.66 Mn |
| Sep 30, 2022 | 14.45 Mn |
| Jun 30, 2022 | 13.34 Mn |
| Mar 31, 2022 | 9.75 Mn |
| Dec 31, 2021 | 9.69 Mn |
| Sep 30, 2021 | 11.47 Mn |
API Access
Amcon Distributing Accumulated Expenses 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=accumulated-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();