O Reilly Automotive (ORLY) Income After Tax (2009 - 2026)
O Reilly Automotive (ORLY) recorded Income After Tax of $715.06 million in Q2 2026, up 7.0% from $668.6 million a year earlier and up 18.4% from the prior quarter.
O Reilly Automotive (ORLY) Income After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Income After Tax came in at $2.65 billion as of Jun 30, 2026, up 9.4% year-over-year; for FY2025, it was $2.54 billion, up 6.3% from FY2024.
- Annual Income After Tax has increased for 16 straight years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Income After Tax came in at $2.39 billion in FY2024 (+1.7%), $2.35 billion in FY2023 (+8.0%), $2.17 billion in FY2022 (+0.4%) and $2.16 billion in FY2021 (+23.5%).
- Quarterly Income After Tax has ranged from $481.88 million in Q1 2022 to $725.9 million in Q3 2025 over the past five years.
- On a year-over-year basis, Income After Tax has increased for five consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 32.1% in Q4 2021, against a decline of 3.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $604.18 million (Q1 2026), $605.23 million (Q4 2025) and $725.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 20.69 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 2.40 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 715.06 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 851.30 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 1.88 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 483.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 931.60 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 715.06 Mn |
| Mar 31, 2026 | 604.18 Mn |
| Dec 31, 2025 | 605.23 Mn |
| Sep 30, 2025 | 725.90 Mn |
| Jun 30, 2025 | 668.60 Mn |
| Mar 31, 2025 | 538.49 Mn |
| Dec 31, 2024 | 551.13 Mn |
| Sep 30, 2024 | 665.46 Mn |
| Jun 30, 2024 | 622.85 Mn |
| Mar 31, 2024 | 547.24 Mn |
| Dec 31, 2023 | 552.50 Mn |
| Sep 30, 2023 | 649.83 Mn |
| Jun 30, 2023 | 627.37 Mn |
| Mar 31, 2023 | 516.89 Mn |
| Dec 31, 2022 | 528.57 Mn |
| Sep 30, 2022 | 585.44 Mn |
| Jun 30, 2022 | 576.76 Mn |
| Mar 31, 2022 | 481.88 Mn |
| Dec 31, 2021 | 518.97 Mn |
| Sep 30, 2021 | 558.65 Mn |
O Reilly Automotive Income After Tax 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=profit-after-tax&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();