O Reilly Automotive (ORLY) Change in Taxes (2010 - 2026)
O Reilly Automotive (ORLY) recorded Change in Taxes of -$34.79 million in Q2 2026, compared with $176.27 million a year earlier.
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Analysis
O Reilly Automotive (ORLY) Change in Taxes (2010 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Change in Taxes came in at -$344.08 million as of Jun 30, 2026; for FY2025, it came in at $4.54 million.
- Annual Change in Taxes has a five-year compound annual growth rate of -53.0% (FY2020 to FY2025).
- Across earlier years, Change in Taxes came in at -$8.69 million in FY2024, $33.89 million in FY2023 (-77.6%), $151.06 million in FY2022 (-0.8%) and $152.34 million in FY2021 (-23.0%).
- Quarterly Change in Taxes has ranged from -$319.48 million in Q4 2023 to $176.27 million in Q2 2025 over the past five years.
- Peak year-over-year performance for Change in Taxes in the last five years was growth of 597.7% in Q4 2022, against a decline of 99.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $951,000 (Q1 2026), $6.42 million (Q4 2025) and -$316.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,705.07 Bn | 2,221.76 Bn | 104.83 Bn | - |
| 2 | Home Depot | 322.64 Bn | 315.88 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 162.95 Bn | 140.50 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 113.45 Bn | 106.41 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 75.24 Bn | 74.33 Bn | 2.52 Bn | -34.79 Mn |
| 6 | Ross Stores | 74.92 Bn | 57.84 Bn | 2.12 Bn | -123.35 Mn |
| 7 | Target | 69.97 Bn | 64.56 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.22 Bn | 52.12 Bn | 2.52 Bn | 21.04 Mn |
| 9 | Carvana | 42.24 Bn | 32.73 Bn | 1.38 Bn | - |
| 10 | JD.com | 36.63 Bn | -83.57 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.79 Mn |
| Mar 31, 2026 | 951,000.00 |
| Dec 31, 2025 | 6.42 Mn |
| Sep 30, 2025 | -316.66 Mn |
| Jun 30, 2025 | 176.27 Mn |
| Mar 31, 2025 | 138.51 Mn |
| Dec 31, 2024 | -207.47 Mn |
| Sep 30, 2024 | 117.55 Mn |
| Jun 30, 2024 | -58.80 Mn |
| Mar 31, 2024 | 140.03 Mn |
| Dec 31, 2023 | -319.48 Mn |
| Sep 30, 2023 | 92.16 Mn |
| Jun 30, 2023 | 115.77 Mn |
| Mar 31, 2023 | 145.44 Mn |
| Dec 31, 2022 | 77.21 Mn |
| Sep 30, 2022 | 61.84 Mn |
| Jun 30, 2022 | -126.22 Mn |
| Mar 31, 2022 | 138.23 Mn |
| Dec 31, 2021 | 11.07 Mn |
| Sep 30, 2021 | 128.87 Mn |
API Access
O Reilly Automotive Change in Taxes 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=change-in-taxes&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();