O Reilly Automotive (ORLY) Current Debt (2023 - 2026)
O Reilly Automotive (ORLY) recorded Current Debt of $815.78 million in Q2 2026, up 380.9% from $169.63 million a year earlier.
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Analysis
O Reilly Automotive (ORLY) Current Debt (2023 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Current Debt came in at $841.76 million as of Jun 30, 2026; for FY2025, it came in at $488.79 million.
- Across earlier years, Current Debt came in at -$547.6 million in FY2024 and $746.79 million in FY2023.
- The Q2 2026 figure is the highest quarterly Current Debt since Q3 2023.
- Per Business Quant, the preceding three quarters came in at -$163.89 million (Q1 2026), $98.99 million (Q4 2025) and $90.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | - |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 745.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 815.78 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 507.00 Mn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 815.78 Mn |
| Mar 31, 2026 | -163.89 Mn |
| Dec 31, 2025 | 98.99 Mn |
| Sep 30, 2025 | 90.88 Mn |
| Jun 30, 2025 | 169.63 Mn |
| Mar 31, 2025 | 129.29 Mn |
| Dec 31, 2024 | 159.25 Mn |
| Sep 30, 2024 | -533.35 Mn |
| Jun 30, 2024 | 137.31 Mn |
| Mar 31, 2024 | -310.81 Mn |
| Dec 31, 2023 | -278.29 Mn |
| Sep 30, 2023 | 1.03 Bn |
API Access
O Reilly Automotive Current Debt 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=current-debt&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();