Copart (CPRT) Exchange Rate Effect (2009 - 2026)
Copart's Exchange Rate Effect came in at $3.12 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 54.2% from $6.81 million a year earlier and down 26.4% from the prior quarter.
Copart (CPRT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, Copart reported Exchange Rate Effect of $4.43 million, down 27.2% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $2.01 million, down 59.4% from FY2024.
- Exchange Rate Effect carries a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by fiscal year, Exchange Rate Effect was $4.96 million in FY2024 (-85.6%), $34.38 million in FY2023, -$15.7 million in FY2022 and $4.2 million in FY2021 (+96.4%).
- The five-year range for quarterly Exchange Rate Effect is -$9.34 million (fiscal Q3 2022) to $32.33 million (fiscal Q4 2023).
- Year-over-year, Exchange Rate Effect increased in two of the last four quarters, with growth averaging 122.8%.
- Business Quant data shows CPRT's Exchange Rate Effect at $4.24 million (Q2 2026), $1.05 million (Q1 2026) and -$3.98 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Copart | 25.20 Bn | 8.75 Bn | 732.88 Mn | 3.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.12 Mn |
| Jan 31, 2026 | 4.24 Mn |
| Oct 31, 2025 | 1.05 Mn |
| Jul 31, 2025 | -3.98 Mn |
| Apr 30, 2025 | 6.81 Mn |
| Jan 31, 2025 | 1.81 Mn |
| Oct 31, 2024 | -2.63 Mn |
| Jul 31, 2024 | 96,000.00 |
| Apr 30, 2024 | 1.12 Mn |
| Jan 31, 2024 | -2.45 Mn |
| Oct 31, 2023 | 6.19 Mn |
| Jul 31, 2023 | 32.33 Mn |
| Apr 30, 2023 | -1.87 Mn |
| Jan 31, 2023 | 8.61 Mn |
| Oct 31, 2022 | -4.69 Mn |
| Jul 31, 2022 | 2.60 Mn |
| Apr 30, 2022 | -9.34 Mn |
| Jan 31, 2022 | -5.26 Mn |
| Oct 31, 2021 | -3.71 Mn |
| Jul 31, 2021 | 241,000.00 |
Copart Exchange Rate Effect 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=exchange-rate-effect&ticker=CPRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();