Americas Carmart (CRMT) Interest Expenses (2010 - 2026)
Americas Carmart (CRMT) recorded Interest Expenses of $19.23 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 12.8% from $17.04 million a year earlier but down 3.8% from the prior quarter.
Americas Carmart (CRMT) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Americas Carmart's Interest Expenses came in at $76.68 million as of Jul 31, 2026, up 10.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $74.49 million, up 5.4% from FY2025.
- Annual Interest Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 61.3% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $70.65 million in FY2025 (+8.1%), $65.35 million in FY2024 (+70.6%), $38.31 million in FY2023 (+250.9%) and $10.92 million in FY2022 (+60.1%).
- Quarterly Interest Expenses has ranged from $2.51 million in fiscal Q2 2022 to $21.78 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 270.6% in fiscal Q1 2023, against a decline of 13.1% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.99 million (Q4 2026), $21.78 million (Q3 2026) and $15.69 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Americas Carmart | 8.51 Mn | -306.16 Mn | 75.49 Mn | 19.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.23 Mn |
| Apr 30, 2026 | 19.99 Mn |
| Jan 31, 2026 | 21.78 Mn |
| Oct 31, 2025 | 15.69 Mn |
| Jul 31, 2025 | 17.04 Mn |
| Apr 30, 2025 | 17.37 Mn |
| Jan 31, 2025 | 16.92 Mn |
| Oct 31, 2024 | 18.04 Mn |
| Jul 31, 2024 | 18.31 Mn |
| Apr 30, 2024 | 17.76 Mn |
| Jan 31, 2024 | 16.73 Mn |
| Oct 31, 2023 | 16.58 Mn |
| Jul 31, 2023 | 14.27 Mn |
| Apr 30, 2023 | 12.85 Mn |
| Oct 31, 2022 | 8.35 Mn |
| Jul 31, 2022 | 7.35 Mn |
| Apr 30, 2022 | 3.48 Mn |
| Oct 31, 2021 | 2.51 Mn |
| Jul 31, 2021 | 1.98 Mn |
| Apr 30, 2021 | 1.74 Mn |
Americas Carmart Interest 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=interest-expenses&ticker=CRMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CRMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();