Copart (CPRT) Inventory (2011 - 2026)
Copart's (CPRT) quarterly Inventory came in at $49.6 million in Q2 2026, up 11.51% year-over-year from $44.5 million in Q2 2025, and up 18.54% quarter-over-quarter from $41.9 million in Q1 2026.
Copart (CPRT) Inventory (2011 - 2026) Analysis & Trends
Copart (CPRT) has reported Inventory for 16 consecutive years, with $49.6 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory rose 11.51% year-over-year to $49.6 million in Q2 2026; TTM through Apr 2026 was $49.6 million, a 11.51% increase from a year earlier, with the FY2025 full-year figure at $39.7 million, down 9.12% from the prior year.
- Inventory was $49.6 million for Q2 2026 at Copart, up from $41.9 million in the prior quarter.
- Over five years, Inventory peaked at $59.1 million in Q1 2025 and troughed at $39.7 million in Q3 2025.
- A 5-year average of $47.9 million and a median of $45.9 million in 2023 frame the typical range for Inventory.
- Across the five-year window, Inventory soared 75.41% in 2022 and plunged 32.01% in 2023, its largest moves.
- Over 5 years, Inventory stood at $53.9 million in 2022, then retreated by 20.86% to $42.6 million in 2023, then grew by 22.92% to $52.4 million in 2024, then declined by 22.89% to $40.4 million in 2025, then gained by 22.83% to $49.6 million in 2026.
- The last three Inventory figures came in at $49.6 million (Q2 2026), $41.9 million (Q1 2026), and $40.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 49.63 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 137.90 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | - |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | - |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | - |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | - |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 21.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 49.63 Mn |
| Jan 31, 2026 | 41.87 Mn |
| Oct 31, 2025 | 40.41 Mn |
| Jul 31, 2025 | 39.66 Mn |
| Apr 30, 2025 | 44.51 Mn |
| Jan 31, 2025 | 59.07 Mn |
| Oct 31, 2024 | 52.40 Mn |
| Jul 31, 2024 | 43.64 Mn |
| Apr 30, 2024 | 46.76 Mn |
| Jan 31, 2024 | 42.81 Mn |
| Oct 31, 2023 | 42.63 Mn |
| Jul 31, 2023 | 39.97 Mn |
| Apr 30, 2023 | 45.00 Mn |
| Jan 31, 2023 | 52.07 Mn |
| Oct 31, 2022 | 53.87 Mn |
| Jul 31, 2022 | 58.79 Mn |
| Apr 30, 2022 | 56.99 Mn |
| Jan 31, 2022 | 52.98 Mn |
| Oct 31, 2021 | 48.19 Mn |
| Jul 31, 2021 | 44.97 Mn |
Copart Inventory 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=inventory&ticker=CPRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();