Carmax (KMX) Operating Expenses (2009 - 2026)
Carmax's Operating Expenses came in at $628.58 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 4.6% from $601.09 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Carmax (KMX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Carmax reported Operating Expenses of $2.46 billion, up 0.4% year-over-year; for FY2026 (ended Feb 28, 2026), it was $2.77 billion, up 1.8% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $2.72 billion in FY2025 (+6.9%), $2.55 billion in FY2024 (-6.7%), $2.73 billion in FY2023 (+7.5%) and $2.54 billion in FY2022 (+33.7%).
- The five-year range for quarterly Operating Expenses is $559.84 million (fiscal Q1 2024) to $666.04 million (fiscal Q2 2023).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2022 (growth of 33.7%), and the weakest in fiscal Q1 2024 (a decline of 14.8%).
- Business Quant data shows KMX's Operating Expenses at $635.18 million (Q1 2027), $611.31 million (Q4 2026) and $581.37 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Carmax | 7.63 Bn | 7.00 Bn | 799.46 Mn | 628.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 628.58 Mn |
| May 31, 2026 | 635.18 Mn |
| Feb 28, 2026 | 611.31 Mn |
| Nov 30, 2025 | 581.37 Mn |
| Aug 31, 2025 | 601.09 Mn |
| May 31, 2025 | 659.64 Mn |
| Feb 28, 2025 | 610.50 Mn |
| Nov 30, 2024 | 575.76 Mn |
| Aug 31, 2024 | 610.56 Mn |
| May 31, 2024 | 638.58 Mn |
| Feb 29, 2024 | 580.89 Mn |
| Nov 30, 2023 | 559.96 Mn |
| Aug 31, 2023 | 585.69 Mn |
| May 31, 2023 | 559.84 Mn |
| Feb 28, 2023 | 572.85 Mn |
| Nov 30, 2022 | 591.73 Mn |
| Aug 31, 2022 | 666.04 Mn |
| May 31, 2022 | 656.74 Mn |
| Feb 28, 2022 | 620.94 Mn |
| Nov 30, 2021 | 575.93 Mn |
API Access
Carmax Operating 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=operating-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();