Amcon Distributing (DIT) Change in Taxes (2010 - 2026)
Amcon Distributing's Change in Taxes was $1.03 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 80.2% from $569,776 a year earlier.
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Analysis
Amcon Distributing (DIT) Change in Taxes (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amcon Distributing's Change in Taxes was $765,355 through Jun 30, 2026, up 36.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $577,659, down 49.1% from FY2024.
- Change in Taxes shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier fiscal years, Change in Taxes was $1.14 million in FY2024, -$1.03 million in FY2023, -$2.24 million in FY2022 and -$371,248 in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Change in Taxes since fiscal Q3 2023.
- Compared with a year earlier, Change in Taxes was higher in three of the last five quarters, with growth averaging 10.2%.
- The best year-over-year quarter for Change in Taxes over five years was fiscal Q4 2021 (growth of 163.0%); the worst was fiscal Q2 2025 (a decline of 91.4%).
- Per Business Quant data, DIT's Change in Taxes in the three fiscal quarters before Q3 2026 was -$390,824 (Q2 2026), $501,654 (Q1 2026) and -$372,471 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -459.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 62.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -242.45 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | -39.76 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 2.50 Mn |
| 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 | -205.09 Mn |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | -390,824.00 |
| Dec 31, 2025 | 501,654.00 |
| Sep 30, 2025 | -372,471.00 |
| Jun 30, 2025 | 569,776.00 |
| Mar 31, 2025 | 57,931.00 |
| Dec 31, 2024 | 322,423.00 |
| Sep 30, 2024 | -388,475.00 |
| Jun 30, 2024 | 514,560.00 |
| Mar 31, 2024 | 672,957.00 |
| Dec 31, 2023 | 336,797.00 |
| Sep 30, 2023 | -2.61 Mn |
| Jun 30, 2023 | 1.63 Mn |
| Mar 31, 2023 | -218,505.00 |
| Dec 31, 2022 | 158,978.00 |
| Sep 30, 2022 | -351,306.00 |
| Jun 30, 2022 | 99,945.00 |
| Mar 31, 2022 | -2.06 Mn |
| Dec 31, 2021 | 71,352.00 |
| Sep 30, 2021 | 166,300.00 |
API Access
Amcon Distributing Change in Taxes 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-taxes&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();