Advance Auto Parts (AAP) Exchange Rate Effect (2014 - 2025)
Advance Auto Parts (AAP) posted Exchange Rate Effect of $1 million for FY2026.
Analysis
Advance Auto Parts (AAP) Exchange Rate Effect (2014 - 2025) Analysis & Trends
Since FY2015, Advance Auto Parts has reported Exchange Rate Effect for 10 years.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -28.8% (FY2021 to FY2026).
- Business Quant data shows AAP's Exchange Rate Effect at $1 million in FY2024, -$9 million in FY2023 and -$8.66 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | - |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | -503,000.00 |
| 10 | Advance Auto Parts | 2.39 Bn | -8.69 Bn | 923.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2025 | -2.00 Mn |
| Apr 19, 2025 | 3.00 Mn |
| Dec 28, 2024 | -11.00 Mn |
| Oct 5, 2024 | 1.00 Mn |
| Jul 13, 2024 | 2.00 Mn |
| Apr 20, 2024 | 9.00 Mn |
| Dec 30, 2023 | -7.07 Mn |
| Oct 7, 2023 | -2.88 Mn |
| Jul 15, 2023 | 881,000.00 |
| Apr 22, 2023 | 68,000.00 |
| Dec 31, 2022 | 7.00 Mn |
| Oct 8, 2022 | -22.18 Mn |
| Jul 16, 2022 | 26.52 Mn |
| Apr 23, 2022 | -19.99 Mn |
| Jan 1, 2022 | 6.66 Mn |
| Apr 24, 2021 | 2.29 Mn |
| Oct 3, 2020 | 1.88 Mn |
| Jul 11, 2020 | 395,000.00 |
| Apr 18, 2020 | -3.46 Mn |
| Dec 28, 2019 | 294,000.00 |
API Access
Advance Auto 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=AAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "AAP", "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=AAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();