O Reilly Automotive (ORLY) Selling, General & Administrative (2009 - 2026)
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Analysis
O Reilly Automotive (ORLY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 805.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 2.20 Bn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 459.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.46 Bn |
| Sep 30, 2025 | 1.46 Bn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.36 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.28 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.26 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
O Reilly Automotive Selling, General & Administrative 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=selling-general-and-administrative&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();