O Reilly Automotive (ORLY) Exchange Rate Effect (2019 - 2026)
O Reilly Automotive (ORLY) recorded Exchange Rate Effect of -$244,000 in Q3 2026, compared with -$35,000 a year earlier.
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Analysis
O Reilly Automotive (ORLY) Exchange Rate Effect (2019 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Exchange Rate Effect came in at $583,000 as of Sep 30, 2026, down 49.1% year-over-year; for FY2025, it was $2.71 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 92.3% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$1.94 million in FY2024, $1.14 million in FY2023 (+53.7%), $741,000 in FY2022 and -$359,000 in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$1.03 million in Q4 2024 to $1.88 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $680,000 (Q2 2026), -$379,000 (Q1 2026) and $526,000 (Q4 2025).
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 | JD.com | 40.37 Bn | -79.84 Bn | 8.74 Bn | -178.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 680,000.00 |
| Mar 31, 2026 | -379,000.00 |
| Dec 31, 2025 | 526,000.00 |
| Sep 30, 2025 | -35,000.00 |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 338,000.00 |
| Dec 31, 2024 | -1.03 Mn |
| Sep 30, 2024 | -268,000.00 |
| Jun 30, 2024 | -887,000.00 |
| Mar 31, 2024 | 248,000.00 |
| Dec 31, 2023 | 246,000.00 |
| Sep 30, 2023 | -190,000.00 |
| Jun 30, 2023 | 369,000.00 |
| Mar 31, 2023 | 714,000.00 |
| Dec 31, 2022 | 653,000.00 |
| Sep 30, 2022 | -84,000.00 |
| Jun 30, 2022 | 25,000.00 |
| Mar 31, 2022 | 147,000.00 |
| Dec 31, 2021 | 53,000.00 |
| Sep 30, 2021 | -330,000.00 |
API Access
O Reilly Automotive 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=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ORLY", "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=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();