Amcon Distributing (DIT) Tax Provisions (2010 - 2026)
Amcon Distributing (DIT) posted Tax Provisions of $1.02 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 28.5% from $790,000 a year earlier.
Amcon Distributing (DIT) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Amcon Distributing was $1.08 million, down 30.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $995,000, down 68.2% from FY2024.
- Annual Tax Provisions has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior fiscal years, Amcon Distributing's Tax Provisions was $3.13 million in FY2024 (-45.2%), $5.71 million in FY2023 (-11.9%), $6.47 million in FY2022 (+43.8%) and $4.5 million in FY2021 (+110.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Tax Provisions since fiscal Q4 2023.
- On a year-over-year basis, Tax Provisions increased in 1 of the last six quarters, with an average decline of 31.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q3 2022, with growth of 106.4%; the weakest was fiscal Q4 2025, with a decline of 69.3%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was -$427,000 (Q2 2026), $245,000 (Q1 2026) and $244,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 932.81 Bn | 889.24 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 439.06 Bn | 362.34 Bn | 12.19 Bn | 1.01 Bn |
| 3 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 38.14 Bn | 24.29 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 29.28 Bn | 23.96 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 25.32 Bn | 23.31 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 23.78 Bn | 20.40 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 22.41 Bn | 22.21 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 17.17 Bn | 16.33 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 1.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | -427,000.00 |
| Dec 31, 2025 | 245,000.00 |
| Sep 30, 2025 | 244,000.00 |
| Jun 30, 2025 | 790,000.00 |
| Mar 31, 2025 | -431,000.00 |
| Dec 31, 2024 | 392,000.00 |
| Sep 30, 2024 | 794,125.00 |
| Jun 30, 2024 | 914,875.00 |
| Mar 31, 2024 | 613,000.00 |
| Dec 31, 2023 | 804,000.00 |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 1.30 Mn |
| Sep 30, 2022 | 1.66 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 1.59 Mn |
Amcon Distributing Tax Provisions 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=tax-provisions&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();