Copart (CPRT) Total Liabilities (2010 - 2026)
Copart's Total Liabilities was $874.77 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 1.8% from $891.03 million a year earlier but up 8.5% from the prior quarter.
Copart (CPRT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Total Liabilities at Copart came in at $903.87 million, unchanged from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $903.75 million in FY2024 (+20.4%), $750.44 million in FY2023 (+9.8%), $683.27 million in FY2022 (-33.9%) and $1.03 billion in FY2021 (+7.0%).
- Quarterly Total Liabilities has moved between $683.27 million (fiscal Q4 2022) and $1.13 billion (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2024 (growth of 24.5%); the worst was fiscal Q1 2023 (a decline of 34.1%).
- Per Business Quant data, CPRT's Total Liabilities in the three fiscal quarters before Q3 2026 was $805.92 million (Q2 2026), $980.86 million (Q1 2026) and $903.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Copart | 25.20 Bn | 8.75 Bn | 732.88 Mn | 874.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 874.77 Mn |
| Jan 31, 2026 | 805.92 Mn |
| Oct 31, 2025 | 980.86 Mn |
| Jul 31, 2025 | 903.87 Mn |
| Apr 30, 2025 | 891.03 Mn |
| Jan 31, 2025 | 886.09 Mn |
| Oct 31, 2024 | 973.18 Mn |
| Jul 31, 2024 | 903.75 Mn |
| Apr 30, 2024 | 839.38 Mn |
| Jan 31, 2024 | 810.92 Mn |
| Oct 31, 2023 | 922.37 Mn |
| Jul 31, 2023 | 750.44 Mn |
| Apr 30, 2023 | 757.38 Mn |
| Jan 31, 2023 | 718.76 Mn |
| Oct 31, 2022 | 740.84 Mn |
| Jul 31, 2022 | 683.27 Mn |
| Apr 30, 2022 | 1.09 Bn |
| Jan 31, 2022 | 1.05 Bn |
| Oct 31, 2021 | 1.13 Bn |
| Jul 31, 2021 | 1.03 Bn |
Copart Total Liabilities 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=total-liabilities&ticker=CPRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();