Carmax (KMX) Interest Expenses (2009 - 2026)
Carmax's Interest Expenses was $31.83 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 11.9% from $28.45 million a year earlier but down 5.9% from the prior quarter.
Carmax (KMX) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Carmax's Interest Expenses was $120.51 million through Aug 31, 2026, up 14.7% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $110.39 million, up 2.3% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $107.94 million in FY2025 (-13.5%), $124.75 million in FY2024 (+3.6%), $120.4 million in FY2023 (+28.0%) and $94.1 million in FY2022 (+9.2%).
- Quarterly Interest Expenses has moved between $24.14 million (fiscal Q4 2025) and $33.81 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Interest Expenses has increased for five straight quarters, with growth averaging 1.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q2 2023 (growth of 46.1%); the worst was fiscal Q4 2025 (a decline of 23.2%).
- Per Business Quant data, KMX's Interest Expenses in the three fiscal quarters before Q2 2027 was $33.81 million (Q1 2027), $28.75 million (Q4 2026) and $26.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Carmax | 7.63 Bn | 7.00 Bn | 799.46 Mn | 31.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 31.83 Mn |
| May 31, 2026 | 33.81 Mn |
| Feb 28, 2026 | 28.75 Mn |
| Nov 30, 2025 | 26.12 Mn |
| Aug 31, 2025 | 28.45 Mn |
| May 31, 2025 | 27.07 Mn |
| Feb 28, 2025 | 24.14 Mn |
| Nov 30, 2024 | 25.42 Mn |
| Aug 31, 2024 | 27.02 Mn |
| May 31, 2024 | 31.36 Mn |
| Feb 29, 2024 | 31.43 Mn |
| Nov 30, 2023 | 31.27 Mn |
| Aug 31, 2023 | 31.59 Mn |
| May 31, 2023 | 30.47 Mn |
| Feb 28, 2023 | 28.73 Mn |
| Nov 30, 2022 | 30.15 Mn |
| Aug 31, 2022 | 32.75 Mn |
| May 31, 2022 | 28.78 Mn |
| Feb 28, 2022 | 26.85 Mn |
| Nov 30, 2021 | 24.30 Mn |
Carmax 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=KMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "KMX", "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=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();