Copart (CPRT) Operating Expenses (2009 - 2026)
Copart's Operating Expenses was $783.54 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 10.0% from $712.51 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Copart (CPRT) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Operating Expenses at Copart came in at $3.01 billion, up 2.1% from FY2025.
- Operating Expenses has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $2.95 billion in FY2025 (+10.7%), $2.66 billion in FY2024 (+11.8%), $2.38 billion in FY2023 (+12.1%) and $2.13 billion in FY2022 (+36.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 6.6%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2022 (growth of 45.0%); the worst was fiscal Q1 2026 (a decline of 2.2%).
- Per Business Quant data, CPRT's Operating Expenses in the three fiscal quarters before Q4 2026 was $772.78 million (Q3 2026), $732.96 million (Q2 2026) and $724.34 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 4.25 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 2.45 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 2.38 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 16.43 Bn |
| 10 | Copart | 26.86 Bn | 11.28 Bn | 645.66 Mn | 783.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 783.54 Mn |
| Apr 30, 2026 | 772.78 Mn |
| Jan 31, 2026 | 732.96 Mn |
| Oct 31, 2025 | 724.34 Mn |
| Jul 31, 2025 | 712.51 Mn |
| Apr 30, 2025 | 760.17 Mn |
| Jan 31, 2025 | 737.11 Mn |
| Oct 31, 2024 | 740.46 Mn |
| Jul 31, 2024 | 709.46 Mn |
| Apr 30, 2024 | 690.06 Mn |
| Jan 31, 2024 | 640.25 Mn |
| Oct 31, 2023 | 625.04 Mn |
| Jul 31, 2023 | 606.97 Mn |
| Apr 30, 2023 | 602.91 Mn |
| Jan 31, 2023 | 591.20 Mn |
| Oct 31, 2022 | 581.87 Mn |
| Jul 31, 2022 | 558.60 Mn |
| Apr 30, 2022 | 567.19 Mn |
| Jan 31, 2022 | 520.13 Mn |
| Oct 31, 2021 | 480.01 Mn |
API Access
Copart 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=CPRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CPRT", "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=CPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();