Amcon Distributing (DIT) Non-Current Assets (2010 - 2026)
Amcon Distributing (DIT) recorded Non-Current Assets of $150.08 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.1% from $150.19 million a year earlier and down 2.1% from the prior quarter.
Amcon Distributing (DIT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amcon Distributing reported Non-Current Assets of $151.58 million, up 4.5% from FY2024.
- Annual Non-Current Assets has increased for four straight fiscal years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Assets came in at $145.04 million in FY2024 (+23.2%), $117.76 million in FY2023 (+50.7%), $78.15 million in FY2022 (+50.8%) and $51.84 million in FY2021 (-0.3%).
- Quarterly Non-Current Assets has ranged from $50.69 million in fiscal Q2 2022 to $153.29 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in seven of the last eight quarters, with growth averaging 9.4%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 114.5% in fiscal Q2 2023, against a decline of 0.8% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $153.29 million (Q2 2026), $148.75 million (Q1 2026) and $151.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.66 Bn | 893.10 Bn | 49.13 Bn | 205.21 Bn |
| 2 | Costco Wholesale | 442.26 Bn | 365.54 Bn | 12.19 Bn | 42.46 Bn |
| 3 | Sysco | 39.27 Bn | 33.52 Bn | 4.13 Bn | 14.96 Bn |
| 4 | Kroger | 38.67 Bn | 24.82 Bn | 7.86 Bn | 36.57 Bn |
| 5 | Dollar General | 29.28 Bn | 23.96 Bn | 3.68 Bn | 23.39 Bn |
| 6 | Caseys General Stores | 25.55 Bn | 23.55 Bn | 1.24 Bn | 7.73 Bn |
| 7 | Dollar Tree | 24.03 Bn | 20.65 Bn | 2.10 Bn | 10.29 Bn |
| 8 | US Foods Holding | 22.34 Bn | 22.14 Bn | 1.92 Bn | 9.89 Bn |
| 9 | Tractor Supply | 17.08 Bn | 16.25 Bn | 1.68 Bn | 7.91 Bn |
| 10 | Amcon Distributing | 57.15 Mn | 54.34 Mn | 49.80 Mn | 150.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.08 Mn |
| Mar 31, 2026 | 153.29 Mn |
| Dec 31, 2025 | 148.75 Mn |
| Sep 30, 2025 | 151.58 Mn |
| Jun 30, 2025 | 150.19 Mn |
| Mar 31, 2025 | 152.34 Mn |
| Dec 31, 2024 | 146.53 Mn |
| Sep 30, 2024 | 145.04 Mn |
| Jun 30, 2024 | 142.31 Mn |
| Mar 31, 2024 | 130.91 Mn |
| Dec 31, 2023 | 118.94 Mn |
| Sep 30, 2023 | 117.76 Mn |
| Jun 30, 2023 | 113.13 Mn |
| Mar 31, 2023 | 108.73 Mn |
| Dec 31, 2022 | 77.41 Mn |
| Sep 30, 2022 | 78.15 Mn |
| Jun 30, 2022 | 78.29 Mn |
| Mar 31, 2022 | 50.69 Mn |
| Dec 31, 2021 | 51.37 Mn |
| Sep 30, 2021 | 51.84 Mn |
Amcon Distributing Non-Current Assets 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=non-current-assets&ticker=DIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();