Genuine Parts (GPC) Exchange Rate Effect (2009 - 2026)
Genuine Parts (GPC) posted Exchange Rate Effect of -$560,000 for Q3 2026, compared with -$1.96 million a year earlier.
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Analysis
Genuine Parts (GPC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Exchange Rate Effect at Genuine Parts was -$25.65 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.
- Quarterly Exchange Rate Effect has run from a low of -$32.06 million in Q4 2024 to a high of $19.71 million in Q4 2023 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$25.13 million (Q2 2026), -$4.88 million (Q1 2026) and $4.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 72.00 Mn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 680,000.00 |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 11.91 Mn |
| 10 | Genuine Parts | 17.21 Bn | 14.91 Bn | 2.48 Bn | -560,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -560,000.00 |
| 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 |
API Access
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_KEYimport 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();