O Reilly Automotive (ORLY) Total Liabilities (2009 - 2026)
O Reilly Automotive's Total Liabilities was $19.22 billion in Q2 2026, up 12.7% from $17.05 billion a year earlier and up 6.8% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at O Reilly Automotive came in at $17.3 billion, up 6.4% from FY2024.
- Total 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 Liabilities was $16.26 billion in FY2024 (+4.2%), $15.61 billion in FY2023 (+14.1%), $13.69 billion in FY2022 (+16.2%) and $11.79 billion in FY2021 (+2.9%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Liabilities has increased for 20 straight quarters, with growth averaging 7.1% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 1.1% (Q3 2021) and 20.8% (Q1 2023) over the last five years.
- Per Business Quant data, ORLY's Total Liabilities in the three quarters before Q2 2026 was $18 billion (Q1 2026), $17.3 billion (Q4 2025) and $17.17 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.22 Bn |
| Mar 31, 2026 | 18.00 Bn |
| Dec 31, 2025 | 17.30 Bn |
| Sep 30, 2025 | 17.17 Bn |
| Jun 30, 2025 | 17.05 Bn |
| Mar 31, 2025 | 16.65 Bn |
| Dec 31, 2024 | 16.26 Bn |
| Sep 30, 2024 | 16.02 Bn |
| Jun 30, 2024 | 15.98 Bn |
| Mar 31, 2024 | 15.60 Bn |
| Dec 31, 2023 | 15.61 Bn |
| Sep 30, 2023 | 15.31 Bn |
| Jun 30, 2023 | 14.90 Bn |
| Mar 31, 2023 | 14.60 Bn |
| Dec 31, 2022 | 13.69 Bn |
| Sep 30, 2022 | 13.44 Bn |
| Jun 30, 2022 | 13.18 Bn |
| Mar 31, 2022 | 12.09 Bn |
| Dec 31, 2021 | 11.79 Bn |
| Sep 30, 2021 | 11.93 Bn |
API Access
O Reilly Automotive Total 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-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();