Amcon Distributing (DIT) Amortizatization of Intangibles (2010 - 2026)
Amcon Distributing (DIT) reported Amortizatization of Intangibles of $115,926 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 5.1% from $122,098 a year earlier and unchanged from the prior quarter.
Amcon Distributing (DIT) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amcon Distributing's Amortizatization of Intangibles came in at $463,703, down 11.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $506,875, down 5.7% from FY2024.
- Amortizatization of Intangibles has a three-year compound annual growth rate of 92.7% (FY2022 to FY2025).
- By fiscal year, Amortizatization of Intangibles came in at $537,701 in FY2024 (+29.5%), $415,178 in FY2023 (+485.7%) and $70,887 in FY2022.
- Five-year quarterly Amortizatization of Intangibles spans a low of $28,355 in fiscal Q3 2022 and a high of $134,426 in fiscal Q1 2025.
- Year over year, Amortizatization of Intangibles has now declined in each of the last five quarters, with an average decline of 6.9% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q3 2023 (growth of 374.1%); the low point was fiscal Q4 2025 (a decline of 13.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $115,926 (Q2 2026), $115,926 (Q1 2026) and $115,925 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | - |
| 10 | Amcon Distributing | 65.94 Mn | 63.14 Mn | 49.80 Mn | 115,926.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115,926.00 |
| Mar 31, 2026 | 115,926.00 |
| Dec 31, 2025 | 115,926.00 |
| Sep 30, 2025 | 115,925.00 |
| Jun 30, 2025 | 122,098.00 |
| Mar 31, 2025 | 134,425.00 |
| Dec 31, 2024 | 134,426.00 |
| Sep 30, 2024 | 134,425.00 |
| Jun 30, 2024 | 134,425.00 |
| Mar 31, 2024 | 134,426.00 |
| Dec 31, 2023 | 134,425.00 |
| Sep 30, 2023 | 134,426.00 |
| Jun 30, 2023 | 134,425.00 |
| Mar 31, 2023 | 103,794.00 |
| Dec 31, 2022 | 42,533.00 |
| Sep 30, 2022 | 42,532.00 |
| Jun 30, 2022 | 28,355.00 |
| Jun 30, 2019 | 10,417.00 |
| Mar 31, 2019 | 15,625.00 |
| Dec 31, 2018 | 15,625.00 |
Amcon Distributing Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();