O Reilly Automotive (ORLY) Other Non-Current Assets (2009 - 2026)
O Reilly Automotive's Other Non-Current Assets came in at $199.62 million for Q2 2026, down 1.4% from $202.36 million a year earlier but up 4.3% from the prior quarter.
O Reilly Automotive (ORLY) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Other Non-Current Assets was $197.19 million, up 1.7% from FY2024.
- Other Non-Current Assets has increased in each of the last ten years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $193.89 million in FY2024 (+8.0%), $179.46 million in FY2023 (+12.9%), $158.97 million in FY2022 (+14.3%) and $139.11 million in FY2021 (+10.6%).
- The five-year range for quarterly Other Non-Current Assets is $135.5 million (Q3 2021) to $202.36 million (Q2 2025).
- Year-over-year, Other Non-Current Assets increased in five of the last eight quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q2 2023 (growth of 30.9%), and the weakest in Q2 2024 (a decline of 1.8%).
- Business Quant data shows ORLY's Other Non-Current Assets at $191.42 million (Q1 2026), $197.19 million (Q4 2025) and $198.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 284.13 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 836.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 1.82 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 347.00 Mn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 302.76 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 1.95 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 199.62 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 229.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 336.18 Mn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 1.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.62 Mn |
| Mar 31, 2026 | 191.42 Mn |
| Dec 31, 2025 | 197.19 Mn |
| Sep 30, 2025 | 198.69 Mn |
| Jun 30, 2025 | 202.36 Mn |
| Mar 31, 2025 | 191.38 Mn |
| Dec 31, 2024 | 193.89 Mn |
| Sep 30, 2024 | 175.70 Mn |
| Jun 30, 2024 | 177.62 Mn |
| Mar 31, 2024 | 180.51 Mn |
| Dec 31, 2023 | 179.46 Mn |
| Sep 30, 2023 | 176.67 Mn |
| Jun 30, 2023 | 180.83 Mn |
| Mar 31, 2023 | 167.03 Mn |
| Dec 31, 2022 | 158.97 Mn |
| Sep 30, 2022 | 142.77 Mn |
| Jun 30, 2022 | 138.16 Mn |
| Mar 31, 2022 | 142.59 Mn |
| Dec 31, 2021 | 139.11 Mn |
| Sep 30, 2021 | 135.50 Mn |
O Reilly Automotive Other Non-Current Assets 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=other-non-current-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();