Amcon Distributing (DIT) Depreciation and Depletion (2010 - 2026)
Amcon Distributing (DIT) reported Depreciation and Depletion of $2.22 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.8% from $2.1 million a year earlier but down 6.4% from the prior quarter.
Amcon Distributing (DIT) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Depreciation and Depletion came in at $9.4 million, up 0.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $9.33 million, up 4.1% from FY2024.
- Depreciation and Depletion has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By fiscal year, Depreciation and Depletion came in at $8.96 million in FY2024 (+25.1%), $7.16 million in FY2023 (+100.4%), $3.57 million in FY2022 (+15.5%) and $3.09 million in FY2021 (-0.8%).
- Five-year quarterly Depreciation and Depletion spans a low of $784,245 in fiscal Q1 2022 and a high of $2.5 million in fiscal Q1 2025.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with growth averaging 2.7%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2023 (growth of 126.5%); the low point was fiscal Q3 2025 (a decline of 7.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.37 million (Q2 2026), $2.4 million (Q1 2026) and $2.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 104.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | - |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 2.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Mar 31, 2026 | 2.37 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 2.40 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.32 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.28 Mn |
| Mar 31, 2024 | 2.15 Mn |
| Dec 31, 2023 | 2.08 Mn |
| Sep 30, 2023 | 2.46 Mn |
| Jun 30, 2023 | 1.97 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 884,146.00 |
| Mar 31, 2022 | 818,222.00 |
| Dec 31, 2021 | 784,245.00 |
| Sep 30, 2021 | 797,627.00 |
Amcon Distributing Depreciation and Depletion 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=depreciation-and-depletion&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();