O Reilly Automotive (ORLY) Total Non-Current Liabilities (2009 - 2026)
O Reilly Automotive's Total Non-Current Liabilities was $18.95 billion in Q2 2026, up 12.7% from $16.81 billion a year earlier and up 6.8% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at O Reilly Automotive came in at $17.04 billion, up 6.3% from FY2024.
- Total Non-Current Liabilities has now increased for 15 consecutive years, with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $16.03 billion in FY2024 (+4.1%), $15.41 billion in FY2023 (+14.2%), $13.49 billion in FY2022 (+16.5%) and $11.58 billion in FY2021 (+2.8%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 20 straight quarters, with growth averaging 7.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 1.0% (Q3 2021) to 21.1% (Q1 2023).
- Per Business Quant data, ORLY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $17.73 billion (Q1 2026), $17.04 billion (Q4 2025) and $16.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 13.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.95 Bn |
| Mar 31, 2026 | 17.73 Bn |
| Dec 31, 2025 | 17.04 Bn |
| Sep 30, 2025 | 16.92 Bn |
| Jun 30, 2025 | 16.81 Bn |
| Mar 31, 2025 | 16.43 Bn |
| Dec 31, 2024 | 16.03 Bn |
| Sep 30, 2024 | 15.81 Bn |
| Jun 30, 2024 | 15.77 Bn |
| Mar 31, 2024 | 15.40 Bn |
| Dec 31, 2023 | 15.41 Bn |
| Sep 30, 2023 | 15.11 Bn |
| Jun 30, 2023 | 14.70 Bn |
| Mar 31, 2023 | 14.39 Bn |
| Dec 31, 2022 | 13.49 Bn |
| Sep 30, 2022 | 13.24 Bn |
| Jun 30, 2022 | 12.97 Bn |
| Mar 31, 2022 | 11.88 Bn |
| Dec 31, 2021 | 11.58 Bn |
| Sep 30, 2021 | 11.72 Bn |
API Access
O Reilly Automotive Total 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=total-non-current-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();