O Reilly Automotive (ORLY) Income Taxes Paid (2009 - 2026)
O Reilly Automotive (ORLY) recorded Income Taxes Paid of $518.15 million in Q3 2026, up 7.4% from $482.64 million a year earlier and up 536.5% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Income Taxes Paid (2009 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Income Taxes Paid came in at $809.48 million as of Sep 30, 2026, down 26.3% year-over-year; for FY2025, it was $1.07 billion, up 66.7% from FY2024.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Across earlier years, Income Taxes Paid came in at $640.43 million in FY2024 (+103.3%), $315.06 million in FY2023 (-24.1%), $415.17 million in FY2022 (-7.9%) and $450.94 million in FY2021 (+47.8%).
- The Q3 2026 figure is the highest quarterly Income Taxes Paid in data going back to Q1 2009.
- On a year-over-year basis, Income Taxes Paid rose in six of the last eight quarters, with growth averaging 63.5%.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 640.6% in Q4 2023, against a decline of 80.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $81.41 million (Q2 2026), $18.91 million (Q1 2026) and $191.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | - |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 2.25 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 81.41 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 389.75 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | - |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.41 Mn |
| Mar 31, 2026 | 18.91 Mn |
| Dec 31, 2025 | 191.01 Mn |
| Sep 30, 2025 | 482.64 Mn |
| Jun 30, 2025 | 376.97 Mn |
| Mar 31, 2025 | 16.90 Mn |
| Dec 31, 2024 | 221.10 Mn |
| Sep 30, 2024 | 338.93 Mn |
| Jun 30, 2024 | 70.60 Mn |
| Mar 31, 2024 | 9.80 Mn |
| Dec 31, 2023 | 167.93 Mn |
| Sep 30, 2023 | 81.77 Mn |
| Jun 30, 2023 | 55.67 Mn |
| Mar 31, 2023 | 9.70 Mn |
| Dec 31, 2022 | 22.68 Mn |
| Sep 30, 2022 | 100.80 Mn |
| Jun 30, 2022 | 283.11 Mn |
| Mar 31, 2022 | 8.58 Mn |
| Dec 31, 2021 | 117.58 Mn |
| Sep 30, 2021 | 40.69 Mn |
API Access
O Reilly Automotive Income Taxes Paid 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=income-taxes-paid&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();