O Reilly Automotive (ORLY) Other Non-Current Liabilities (2009 - 2026)
O Reilly Automotive's Other Non-Current Liabilities was $276.39 million in Q2 2026, up 15.2% from $239.88 million a year earlier and up 2.5% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at O Reilly Automotive came in at $262.98 million, up 13.4% from FY2024.
- Other Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $231.96 million in FY2024 (+13.7%), $203.98 million in FY2023 (+1.4%), $201.26 million in FY2022 (-2.6%) and $206.57 million in FY2021 (+5.3%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Other Non-Current Liabilities has increased for nine straight quarters, with growth averaging 14.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2025 (growth of 24.7%); the worst was Q3 2022 (a decline of 4.1%).
- Per Business Quant data, ORLY's Other Non-Current Liabilities in the three quarters before Q2 2026 was $269.75 million (Q1 2026), $262.98 million (Q4 2025) and $258.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.39 Mn |
| Mar 31, 2026 | 269.75 Mn |
| Dec 31, 2025 | 262.98 Mn |
| Sep 30, 2025 | 258.83 Mn |
| Jun 30, 2025 | 239.88 Mn |
| Mar 31, 2025 | 225.76 Mn |
| Dec 31, 2024 | 231.96 Mn |
| Sep 30, 2024 | 207.58 Mn |
| Jun 30, 2024 | 207.96 Mn |
| Mar 31, 2024 | 205.70 Mn |
| Dec 31, 2023 | 203.98 Mn |
| Sep 30, 2023 | 199.99 Mn |
| Jun 30, 2023 | 205.66 Mn |
| Mar 31, 2023 | 209.41 Mn |
| Dec 31, 2022 | 201.26 Mn |
| Sep 30, 2022 | 203.91 Mn |
| Jun 30, 2022 | 205.14 Mn |
| Mar 31, 2022 | 210.50 Mn |
| Dec 31, 2021 | 206.57 Mn |
| Sep 30, 2021 | 212.59 Mn |
API Access
O Reilly Automotive Other Non-Current Liabilities 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-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();