Carmax (KMX) EBITDA (2009 - 2026)
Carmax (KMX) posted EBITDA of $266.09 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 32.7% from $200.5 million a year earlier but down 14.8% from the prior quarter.
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Analysis
Carmax (KMX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBITDA at Carmax was $763.1 million, down 7.7% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $380.84 million, down 18.9% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of -12.0% (FY2021 to FY2026).
- In prior fiscal years, Carmax's EBITDA was $469.5 million in FY2025 (+10.3%), $425.85 million in FY2024 (+27.6%), $333.67 million in FY2023 (-67.3%) and $1.02 billion in FY2022 (+41.4%).
- Quarterly EBITDA has run from a low of $49.71 million in fiscal Q3 2023 to a high of $332.15 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 14.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2024, with growth of 140.3%; the weakest was fiscal Q3 2023, with a decline of 85.0%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $312.13 million (Q1 2027), $87.71 million (Q4 2026) and $97.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,806.29 Bn | 2,322.99 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 310.94 Bn | 304.18 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.52 Bn | 139.06 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.34 Bn | 102.30 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.89 Bn | 57.81 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.53 Bn | 72.61 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.79 Bn | 64.38 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.62 Bn | 50.52 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.22 Bn | 33.71 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Carmax | 7.52 Bn | 6.89 Bn | 799.46 Mn | 266.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 266.09 Mn |
| May 31, 2026 | 312.13 Mn |
| Feb 28, 2026 | 87.71 Mn |
| Nov 30, 2025 | 97.16 Mn |
| Aug 31, 2025 | 200.50 Mn |
| May 31, 2025 | 313.76 Mn |
| Feb 28, 2025 | 134.86 Mn |
| Nov 30, 2024 | 177.25 Mn |
| Aug 31, 2024 | 222.63 Mn |
| May 31, 2024 | 222.56 Mn |
| Feb 29, 2024 | 72.19 Mn |
| Nov 30, 2023 | 119.46 Mn |
| Aug 31, 2023 | 175.04 Mn |
| May 31, 2023 | 320.55 Mn |
| Feb 28, 2023 | 100.70 Mn |
| Nov 30, 2022 | 49.71 Mn |
| Aug 31, 2022 | 138.53 Mn |
| May 31, 2022 | 289.12 Mn |
| Feb 28, 2022 | 162.42 Mn |
| Nov 30, 2021 | 332.15 Mn |
API Access
Carmax EBITDA 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=ebitda&ticker=KMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();