Amcon Distributing (DIT) Total Liabilities (2010 - 2026)
Amcon Distributing (DIT) reported Total Liabilities of $283.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.1% from $280.72 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Amcon Distributing (DIT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amcon Distributing posted Total Liabilities of $278.02 million, up 6.0% from FY2024.
- Total Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $262.38 million in FY2024 (+1.2%), $259.26 million in FY2023 (+32.1%), $196.3 million in FY2022 (+77.2%) and $110.8 million in FY2021 (-10.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q1 2025.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 4.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2023 (growth of 125.3%); the low point was fiscal Q4 2021 (a decline of 10.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $282.1 million (Q2 2026), $264.6 million (Q1 2026) and $278.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 283.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.84 Mn |
| Mar 31, 2026 | 282.10 Mn |
| Dec 31, 2025 | 264.60 Mn |
| Sep 30, 2025 | 278.02 Mn |
| Jun 30, 2025 | 280.72 Mn |
| Mar 31, 2025 | 280.65 Mn |
| Dec 31, 2024 | 292.25 Mn |
| Sep 30, 2024 | 262.38 Mn |
| Jun 30, 2024 | 290.64 Mn |
| Mar 31, 2024 | 228.21 Mn |
| Dec 31, 2023 | 255.49 Mn |
| Sep 30, 2023 | 259.26 Mn |
| Jun 30, 2023 | 267.79 Mn |
| Mar 31, 2023 | 223.38 Mn |
| Dec 31, 2022 | 236.16 Mn |
| Sep 30, 2022 | 196.30 Mn |
| Jun 30, 2022 | 210.15 Mn |
| Mar 31, 2022 | 99.14 Mn |
| Dec 31, 2021 | 106.07 Mn |
| Sep 30, 2021 | 110.80 Mn |
API Access
Amcon Distributing Total Liabilities 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=total-liabilities&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();