Americas Carmart (CRMT) Total Liabilities (2011 - 2026)
Americas Carmart's Total Liabilities came in at $829.66 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 20.5% from $1.04 billion a year earlier and down 14.6% from the prior quarter.
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Analysis
Americas Carmart (CRMT) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Americas Carmart's Total Liabilities was $971.18 million, down 6.3% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 18.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.04 billion in FY2025 (+3.0%), $1.01 billion in FY2024 (+9.9%), $916.19 million in FY2023 (+35.1%) and $678.16 million in FY2022 (+65.3%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q2 2023.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 65.3%), and the weakest in fiscal Q1 2027 (a decline of 20.5%).
- Business Quant data shows CRMT's Total Liabilities at $971.18 million (Q4 2026), $1.15 billion (Q3 2026) and $1.16 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Americas Carmart | 8.59 Mn | -306.08 Mn | 75.49 Mn | 829.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 829.66 Mn |
| Apr 30, 2026 | 971.18 Mn |
| Jan 31, 2026 | 1.15 Bn |
| Oct 31, 2025 | 1.16 Bn |
| Jul 31, 2025 | 1.04 Bn |
| Apr 30, 2025 | 1.04 Bn |
| Jan 31, 2025 | 1.05 Bn |
| Oct 31, 2024 | 1.02 Bn |
| Jul 31, 2024 | 1.06 Bn |
| Apr 30, 2024 | 1.01 Bn |
| Jan 31, 2024 | 997.94 Mn |
| Oct 31, 2023 | 1.01 Bn |
| Jul 31, 2023 | 999.99 Mn |
| Apr 30, 2023 | 916.19 Mn |
| Dec 31, 2022 | 889.44 Mn |
| Oct 31, 2022 | 813.85 Mn |
| Jul 31, 2022 | 759.97 Mn |
| Apr 30, 2022 | 678.16 Mn |
| Dec 31, 2021 | 678.16 Mn |
| Oct 31, 2021 | 532.24 Mn |
API Access
Americas Carmart 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=CRMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CRMT", "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=CRMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();