CarParts.com (PRTS) Exchange Rate Effect (2011 - 2026)
CarParts.com's Exchange Rate Effect was $87,000 in FY2024.
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Analysis
CarParts.com (PRTS) Exchange Rate Effect (2011 - 2026) Analysis & Trends
From FY2010 onward, CarParts.com has reported Exchange Rate Effect for 12 years.
- The FY2024 figure marks the highest annual Exchange Rate Effect since FY2010.
- Per Business Quant data, Exchange Rate Effect in earlier years was -$75,000 in FY2022 and -$21,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 72.00 Mn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | - |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | - |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | - |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 11.91 Mn |
| 10 | CarParts.com | 61.58 Mn | -74.05 Mn | 43.18 Mn | 1,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 1,000.00 |
| Apr 4, 2026 | -594,000.00 |
| Jun 29, 2024 | -1,000.00 |
| Mar 30, 2024 | 88,000.00 |
| Dec 31, 2022 | 423,000.00 |
| Oct 1, 2022 | -477,000.00 |
| Jul 2, 2022 | -27,000.00 |
| Apr 2, 2022 | 6,000.00 |
| Jan 1, 2022 | -26,000.00 |
| Apr 3, 2021 | -11,000.00 |
| Sep 26, 2020 | 13,000.00 |
| Jun 27, 2020 | -2,000.00 |
| Mar 28, 2020 | -6,000.00 |
| Dec 28, 2019 | -8,000.00 |
| Sep 28, 2019 | -3,000.00 |
| Jun 29, 2019 | 8,000.00 |
| Mar 30, 2019 | -7,000.00 |
| Dec 29, 2018 | 2,000.00 |
| Sep 29, 2018 | -7,000.00 |
| Jun 30, 2018 | -6,000.00 |
API Access
CarParts.com 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=PRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PRTS", "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=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();