Genuine Parts (GPC) Exchange Rate Effect (2009 - 2026)
Genuine Parts (GPC) posted Exchange Rate Effect of -$25.13 million for Q2 2026, compared with $16.95 million a year earlier.
Genuine Parts (GPC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Genuine Parts was -$27.05 million; for FY2025, it was $27.27 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Genuine Parts' Exchange Rate Effect was -$31.81 million in FY2024, $10.89 million in FY2023, -$49.07 million in FY2022 and -$38.05 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q4 2024.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$4.88 million (Q1 2026), $4.92 million (Q4 2025) and -$1.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -503,000.00 |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | -25.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.13 Mn |
| Mar 31, 2026 | -4.88 Mn |
| Dec 31, 2025 | 4.92 Mn |
| Sep 30, 2025 | -1.96 Mn |
| Jun 30, 2025 | 16.95 Mn |
| Mar 31, 2025 | 7.36 Mn |
| Dec 31, 2024 | -32.06 Mn |
| Sep 30, 2024 | 14.54 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | -17.06 Mn |
| Dec 31, 2023 | 19.71 Mn |
| Sep 30, 2023 | -12.33 Mn |
| Jun 30, 2023 | 247,000.00 |
| Mar 31, 2023 | 3.26 Mn |
| Dec 31, 2022 | 10.10 Mn |
| Sep 30, 2022 | -31.55 Mn |
| Jun 30, 2022 | -31.86 Mn |
| Mar 31, 2022 | 4.25 Mn |
| Dec 31, 2021 | -17.42 Mn |
| Sep 30, 2021 | -13.00 Mn |
Genuine Parts 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=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GPC", "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=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();