Carmax (KMX) Accumulated Expenses (2010 - 2026)
Carmax's Accumulated Expenses came in at $525.66 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 10.0% from $477.99 million a year earlier and up 25.8% from the prior quarter.
Carmax (KMX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Carmax's Accumulated Expenses was $475.5 million, down 10.3% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $529.93 million in FY2025 (+1.1%), $523.97 million in FY2024 (+9.4%), $478.96 million in FY2023 (-10.2%) and $533.27 million in FY2022 (+28.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Accumulated Expenses since fiscal Q4 2025.
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 3.1%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 42.5%), and the weakest in fiscal Q1 2025 (a decline of 13.7%).
- Business Quant data shows KMX's Accumulated Expenses at $417.84 million (Q1 2027), $475.5 million (Q4 2026) and $418.02 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Aug 31, 2026 | 525.66 Mn |
| May 31, 2026 | 417.84 Mn |
| Feb 28, 2026 | 475.50 Mn |
| Nov 30, 2025 | 418.02 Mn |
| Aug 31, 2025 | 477.99 Mn |
| May 31, 2025 | 409.00 Mn |
| Feb 28, 2025 | 529.93 Mn |
| Nov 30, 2024 | 456.54 Mn |
| Aug 31, 2024 | 483.92 Mn |
| May 31, 2024 | 456.28 Mn |
| Feb 29, 2024 | 523.97 Mn |
| Nov 30, 2023 | 494.37 Mn |
| Aug 31, 2023 | 513.14 Mn |
| May 31, 2023 | 528.60 Mn |
| Feb 28, 2023 | 478.96 Mn |
| Nov 30, 2022 | 496.20 Mn |
| Aug 31, 2022 | 482.36 Mn |
| May 31, 2022 | 489.62 Mn |
| Feb 28, 2022 | 533.27 Mn |
| Nov 30, 2021 | 530.59 Mn |
Carmax Accumulated 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=accumulated-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();