Americas Carmart (CRMT) Operating Expenses (2010 - 2026)
Americas Carmart's Operating Expenses came in at $214.58 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 38.5% from $348.71 million a year earlier and down 36.7% from the prior quarter.
Powered by 
Analysis
Americas Carmart (CRMT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Americas Carmart reported Operating Expenses of $1.25 billion, down 8.3% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.39 billion, up 1.6% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.37 billion in FY2025 (-4.6%), $1.43 billion in FY2024 (+4.3%), $1.37 billion in FY2023 (+28.7%) and $1.07 billion in FY2022 (+37.9%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses since fiscal Q4 2021.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 5.5%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 43.7%), and the weakest in fiscal Q1 2027 (a decline of 38.5%).
- Business Quant data shows CRMT's Operating Expenses at $339.2 million (Q4 2026), $323.51 million (Q3 2026) and $377.68 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Americas Carmart | 8.59 Mn | -306.08 Mn | 75.49 Mn | 214.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 214.58 Mn |
| Apr 30, 2026 | 339.20 Mn |
| Jan 31, 2026 | 323.51 Mn |
| Oct 31, 2025 | 377.68 Mn |
| Jul 31, 2025 | 348.71 Mn |
| Apr 30, 2025 | 357.70 Mn |
| Jan 31, 2025 | 321.34 Mn |
| Oct 31, 2024 | 340.15 Mn |
| Jul 31, 2024 | 348.95 Mn |
| Apr 30, 2024 | 364.10 Mn |
| Jan 31, 2024 | 309.96 Mn |
| Oct 31, 2023 | 395.37 Mn |
| Jul 31, 2023 | 361.57 Mn |
| Apr 30, 2023 | 384.70 Mn |
| Oct 31, 2022 | 347.78 Mn |
| Jul 31, 2022 | 321.09 Mn |
| Apr 30, 2022 | 307.24 Mn |
| Oct 31, 2021 | 254.33 Mn |
| Jul 31, 2021 | 248.57 Mn |
| Apr 30, 2021 | 213.85 Mn |
API Access
Americas Carmart Operating Expenses 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=operating-expenses&ticker=CRMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();