Carmax (KMX) Total Liabilities (2010 - 2026)
Carmax (KMX) recorded Total Liabilities of $19.76 billion in fiscal Q2 2027 (quarter ended Aug 31, 2026), down 5.3% from $20.88 billion a year earlier and down 3.6% from the prior quarter.
Carmax (KMX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Carmax reported Total Liabilities of $20.48 billion, down 3.2% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $21.16 billion in FY2025 (+0.2%), $21.12 billion in FY2024 (+2.7%), $20.57 billion in FY2023 (-2.5%) and $21.1 billion in FY2022 (+22.9%).
- Quarterly Total Liabilities has ranged from $19.5 billion in fiscal Q3 2026 to $21.29 billion in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 22.9% in fiscal Q4 2022, against a decline of 7.5% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $20.51 billion (Q1 2027), $20.48 billion (Q4 2026) and $19.5 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Carmax | 7.32 Bn | 6.69 Bn | 799.46 Mn | 19.76 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 19.76 Bn |
| May 31, 2026 | 20.51 Bn |
| Feb 28, 2026 | 20.48 Bn |
| Nov 30, 2025 | 19.50 Bn |
| Aug 31, 2025 | 20.88 Bn |
| May 31, 2025 | 21.10 Bn |
| Feb 28, 2025 | 21.16 Bn |
| Nov 30, 2024 | 21.09 Bn |
| Aug 31, 2024 | 21.12 Bn |
| May 31, 2024 | 21.08 Bn |
| Feb 29, 2024 | 21.12 Bn |
| Nov 30, 2023 | 21.13 Bn |
| Aug 31, 2023 | 21.29 Bn |
| May 31, 2023 | 21.14 Bn |
| Feb 28, 2023 | 20.57 Bn |
| Nov 30, 2022 | 20.45 Bn |
| Aug 31, 2022 | 21.06 Bn |
| May 31, 2022 | 20.94 Bn |
| Feb 28, 2022 | 21.10 Bn |
| Nov 30, 2021 | 20.47 Bn |
Carmax 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=KMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();