O Reilly Automotive (ORLY) Non-Current Deferred Tax Liability (2009 - 2026)
O Reilly Automotive's Non-Current Deferred Tax Liability was $244.1 million in Q3 2026, up 1.4% from $240.73 million a year earlier and up 2.3% from the prior quarter.
O Reilly Automotive (ORLY) Non-Current Deferred Tax Liability (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Deferred Tax Liability at O Reilly Automotive came in at $211.21 million, down 14.7% from FY2024.
- Non-Current Deferred Tax Liability shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Non-Current Deferred Tax Liability was $247.6 million in FY2024 (-16.2%), $295.47 million in FY2023 (+20.4%), $245.35 million in FY2022 (+40.0%) and $175.21 million in FY2021 (+12.4%).
- The Q3 2026 figure marks the highest quarterly Non-Current Deferred Tax Liability since Q4 2024.
- Compared with a year earlier, Non-Current Deferred Tax Liability was higher in two of the last eight quarters, with an average decline of 13.9%.
- The best year-over-year quarter for Non-Current Deferred Tax Liability over five years was Q4 2022 (growth of 40.0%); the worst was Q2 2025 (a decline of 36.9%).
- Per Business Quant data, ORLY's Non-Current Deferred Tax Liability in the three quarters before Q3 2026 was $238.62 million (Q2 2026), $224.41 million (Q1 2026) and $211.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 244.10 Mn |
| Jun 30, 2026 | 238.62 Mn |
| Mar 31, 2026 | 224.41 Mn |
| Dec 31, 2025 | 211.21 Mn |
| Sep 30, 2025 | 240.73 Mn |
| Jun 30, 2025 | 211.92 Mn |
| Mar 31, 2025 | 236.57 Mn |
| Dec 31, 2024 | 247.60 Mn |
| Sep 30, 2024 | 325.87 Mn |
| Jun 30, 2024 | 335.60 Mn |
| Mar 31, 2024 | 321.32 Mn |
| Dec 31, 2023 | 295.47 Mn |
| Sep 30, 2023 | 282.89 Mn |
| Jun 30, 2023 | 260.64 Mn |
| Mar 31, 2023 | 249.90 Mn |
| Dec 31, 2022 | 245.35 Mn |
| Sep 30, 2022 | 218.09 Mn |
| Jun 30, 2022 | 203.74 Mn |
| Mar 31, 2022 | 180.61 Mn |
| Dec 31, 2021 | 175.21 Mn |
O Reilly Automotive Non-Current Deferred Tax Liability 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=non-current-deferred-tax-liability&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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=non-current-deferred-tax-liability&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();