Carmax (KMX) Other Operating Expenses (2009 - 2026)
Carmax (KMX) posted Other Operating Expenses of $135.6 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 32.1% from $102.64 million a year earlier but down 3.3% from the prior quarter.
Carmax (KMX) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Other Operating Expenses at Carmax was $594.27 million, up 5.5% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $562.72 million, down 3.3% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- In prior fiscal years, Carmax's Other Operating Expenses was $581.75 million in FY2025 (+2.4%), $568.3 million in FY2024 (-14.3%), $663.4 million in FY2023 (-17.2%) and $801.51 million in FY2022 (+42.4%).
- Quarterly Other Operating Expenses has run from a low of $102.64 million in fiscal Q2 2026 to a high of $204.5 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q2 2027, with growth of 32.1%; the weakest was fiscal Q4 2023, with a decline of 36.1%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $140.24 million (Q1 2027), $143.7 million (Q4 2026) and $174.74 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | Carmax | 7.48 Bn | 6.85 Bn | 799.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 135.60 Mn |
| May 31, 2026 | 140.24 Mn |
| Feb 28, 2026 | 143.70 Mn |
| Nov 30, 2025 | 174.74 Mn |
| Aug 31, 2025 | 102.64 Mn |
| May 31, 2025 | 141.70 Mn |
| Feb 28, 2025 | 159.31 Mn |
| Nov 30, 2024 | 159.90 Mn |
| Aug 31, 2024 | 115.60 Mn |
| May 31, 2024 | 147.00 Mn |
| Feb 29, 2024 | 147.30 Mn |
| Nov 30, 2023 | 148.70 Mn |
| Aug 31, 2023 | 135.00 Mn |
| May 31, 2023 | 137.40 Mn |
| Feb 28, 2023 | 123.87 Mn |
| Nov 30, 2022 | 152.20 Mn |
| Aug 31, 2022 | 182.90 Mn |
| May 31, 2022 | 204.50 Mn |
| Feb 28, 2022 | 193.78 Mn |
| Nov 30, 2021 | 166.00 Mn |
Carmax Other 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=other-operating-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=KMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();