Amcon Distributing (DIT) Change in Accured Expenses (2010 - 2026)
Amcon Distributing (DIT) recorded Change in Accured Expenses of $356,952 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 89.6% from $3.42 million a year earlier and down 88.2% from the prior quarter.
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Analysis
Amcon Distributing (DIT) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Amcon Distributing's Change in Accured Expenses came in at -$2.07 million as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$1.95 million.
- Across earlier fiscal years, Change in Accured Expenses came in at $1.22 million in FY2024 (-22.4%), $1.57 million in FY2023 (-36.6%), $2.48 million in FY2022 (+113.1%) and $1.16 million in FY2021 (-13.9%).
- Quarterly Change in Accured Expenses has ranged from -$6.06 million in fiscal Q1 2025 to $5.51 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with an average decline of 1.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 351.7% in fiscal Q2 2023, against a decline of 89.6% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.03 million (Q2 2026), -$4.57 million (Q1 2026) and -$881,790 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 356,952.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356,952.00 |
| Mar 31, 2026 | 3.03 Mn |
| Dec 31, 2025 | -4.57 Mn |
| Sep 30, 2025 | -881,790.00 |
| Jun 30, 2025 | 3.42 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | -6.06 Mn |
| Sep 30, 2024 | 108,971.00 |
| Jun 30, 2024 | 5.51 Mn |
| Mar 31, 2024 | -753,512.00 |
| Dec 31, 2023 | -3.65 Mn |
| Sep 30, 2023 | 86,079.00 |
| Jun 30, 2023 | 2.58 Mn |
| Mar 31, 2023 | 3.70 Mn |
| Dec 31, 2022 | -4.79 Mn |
| Sep 30, 2022 | 555,930.00 |
| Jun 30, 2022 | 2.63 Mn |
| Mar 31, 2022 | 819,100.00 |
| Dec 31, 2021 | -1.52 Mn |
| Sep 30, 2021 | 359,845.00 |
API Access
Amcon Distributing Change in Accured 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=change-in-accured-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();