Carmax (KMX) Operating Leases (2019 - 2026)
Carmax (KMX) posted Operating Leases of $439 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), down 5.4% from $463.84 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Carmax (KMX) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Carmax's Operating Leases came in at $464.7 million, down 3.6% from FY2025.
- Annual Operating Leases has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- In prior fiscal years, Carmax's Operating Leases was $481.96 million in FY2025 (-2.9%), $496.21 million in FY2024 (-5.3%), $523.83 million in FY2023 (+0.1%) and $523.27 million in FY2022 (+23.5%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Leases since fiscal Q4 2021.
- On a year-over-year basis, Operating Leases has declined in each of the last 11 quarters, with an average decline of 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2022, with growth of 23.5%; the weakest was fiscal Q2 2025, with a decline of 8.5%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $453.35 million (Q1 2027), $464.7 million (Q4 2026) and $462.39 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | Carmax | 7.32 Bn | 6.69 Bn | 799.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 439.00 Mn |
| May 31, 2026 | 453.35 Mn |
| Feb 28, 2026 | 464.70 Mn |
| Nov 30, 2025 | 462.39 Mn |
| Aug 31, 2025 | 463.84 Mn |
| May 31, 2025 | 470.91 Mn |
| Feb 28, 2025 | 481.96 Mn |
| Nov 30, 2024 | 481.34 Mn |
| Aug 31, 2024 | 473.16 Mn |
| May 31, 2024 | 484.63 Mn |
| Feb 29, 2024 | 496.21 Mn |
| Nov 30, 2023 | 509.14 Mn |
| Aug 31, 2023 | 516.84 Mn |
| May 31, 2023 | 519.18 Mn |
| Feb 28, 2023 | 523.83 Mn |
| Nov 30, 2022 | 509.11 Mn |
| Aug 31, 2022 | 512.54 Mn |
| May 31, 2022 | 519.82 Mn |
| Feb 28, 2022 | 523.27 Mn |
| Nov 30, 2021 | 529.82 Mn |
API Access
Carmax Operating Leases 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-leases&ticker=KMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();