O Reilly Automotive (ORLY) Retained Earnings (2009 - 2026)
Analysis
O Reilly Automotive (ORLY) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 364.12 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 5.32 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | -3.42 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 10.89 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 840.00 Mn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | -2.82 Bn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | 12.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.42 Bn |
| Mar 31, 2026 | -2.64 Bn |
| Dec 31, 2025 | -2.33 Bn |
| Sep 30, 2025 | -2.44 Bn |
| Jun 30, 2025 | -2.75 Bn |
| Mar 31, 2025 | -2.81 Bn |
| Dec 31, 2024 | -2.79 Bn |
| Sep 30, 2024 | -2.88 Bn |
| Jun 30, 2024 | -3.01 Bn |
| Mar 31, 2024 | -2.85 Bn |
| Dec 31, 2023 | -3.13 Bn |
| Sep 30, 2023 | -3.13 Bn |
| Jun 30, 2023 | -2.99 Bn |
| Mar 31, 2023 | -2.95 Bn |
| Dec 31, 2022 | -2.38 Bn |
| Sep 30, 2022 | -2.49 Bn |
| Jun 30, 2022 | -2.39 Bn |
| Mar 31, 2022 | -1.64 Bn |
| Dec 31, 2021 | -1.37 Bn |
| Sep 30, 2021 | -1.43 Bn |
API Access
O Reilly Automotive Retained Earnings 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=retained-earnings&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();