Americas Carmart (CRMT) Asset Writedowns and Impairment (2023 - 2026)
Americas Carmart (CRMT) recorded Asset Writedowns and Impairment of $6.38 million in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 132.1% from the prior quarter.
Americas Carmart (CRMT) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Americas Carmart reported Asset Writedowns and Impairment of $11.02 million.
- The fiscal Q4 2026 figure is the highest quarterly Asset Writedowns and Impairment in data going back to fiscal Q1 2024.
- Per Business Quant, the preceding three fiscal quarters came in at $2.75 million (Q3 2026), $1.87 million (Q2 2026) and $14,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Americas Carmart | 8.76 Mn | -305.91 Mn | 75.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 6.38 Mn |
| Jan 31, 2026 | 2.75 Mn |
| Oct 31, 2025 | 1.87 Mn |
| Jul 31, 2025 | 14,000.00 |
| Oct 31, 2024 | -46,000.00 |
| Jul 31, 2024 | 46,000.00 |
| Apr 30, 2024 | -212,000.00 |
| Jan 31, 2024 | 118,000.00 |
| Oct 31, 2023 | 82,000.00 |
| Jul 31, 2023 | 12,000.00 |
Americas Carmart Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CRMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=CRMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();