O Reilly Automotive (ORLY) Total Current Liabilities (2009 - 2026)
O Reilly Automotive's Total Current Liabilities came in at $9.57 billion for Q2 2026, up 9.8% from $8.72 billion a year earlier and up 3.8% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Total Current Liabilities was $8.78 billion, up 5.9% from FY2024.
- Total Current Liabilities has increased in each of the last 16 years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $8.28 billion in FY2024 (+8.1%), $7.66 billion in FY2023 (+8.5%), $7.06 billion in FY2022 (+20.2%) and $5.87 billion in FY2021 (+11.6%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Current Liabilities has increased for 20 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 4.5% (Q3 2024) and 20.2% (Q4 2022) over the last five years.
- Business Quant data shows ORLY's Total Current Liabilities at $9.22 billion (Q1 2026), $8.78 billion (Q4 2025) and $8.71 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 10.04 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 52.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.57 Bn |
| Mar 31, 2026 | 9.22 Bn |
| Dec 31, 2025 | 8.78 Bn |
| Sep 30, 2025 | 8.71 Bn |
| Jun 30, 2025 | 8.72 Bn |
| Mar 31, 2025 | 8.51 Bn |
| Dec 31, 2024 | 8.28 Bn |
| Sep 30, 2024 | 8.19 Bn |
| Jun 30, 2024 | 8.12 Bn |
| Mar 31, 2024 | 7.89 Bn |
| Dec 31, 2023 | 7.66 Bn |
| Sep 30, 2023 | 7.83 Bn |
| Jun 30, 2023 | 7.69 Bn |
| Mar 31, 2023 | 7.36 Bn |
| Dec 31, 2022 | 7.06 Bn |
| Sep 30, 2022 | 6.84 Bn |
| Jun 30, 2022 | 6.41 Bn |
| Mar 31, 2022 | 6.17 Bn |
| Dec 31, 2021 | 5.87 Bn |
| Sep 30, 2021 | 5.99 Bn |
API Access
O Reilly Automotive Total 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-current-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();