O Reilly Automotive (ORLY) Net Debt Issuances and Repayments (2009 - 2026)
O Reilly Automotive (ORLY) posted Net Debt Issuances and Repayments of $815.78 million for Q2 2026, up 380.9% from $169.63 million a year earlier and up 344.6% from the prior quarter.
O Reilly Automotive (ORLY) Net Debt Issuances and Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Debt Issuances and Repayments at O Reilly Automotive was $1.19 billion, up 180.6% year-over-year; for FY2025, it was $488.79 million.
- Annual Net Debt Issuances and Repayments shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Net Debt Issuances and Repayments was -$48.69 million in FY2024, $1.2 billion in FY2023 (+118.6%), $547.31 million in FY2022 and -$300 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Net Debt Issuances and Repayments since Q2 2022.
- On a year-over-year basis, Net Debt Issuances and Repayments increased in three of the last five quarters, with growth averaging 75.4%.
- According to Business Quant data, Net Debt Issuances and Repayments for the three prior quarters was $183.48 million (Q1 2026), $98.99 million (Q4 2025) and $90.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 48.94 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -817.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | -21.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 815.78 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | -55.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | -809.85 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 815.78 Mn |
| Mar 31, 2026 | 183.48 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 | -34.44 Mn |
| Jun 30, 2024 | 107.31 Mn |
| Mar 31, 2024 | -280.81 Mn |
| Dec 31, 2023 | 471.37 Mn |
| Sep 30, 2023 | 225.08 Mn |
| Jun 30, 2023 | -55.00 Mn |
| Mar 31, 2023 | 555.00 Mn |
| Sep 30, 2022 | -300.00 Mn |
| Jun 30, 2022 | 847.31 Mn |
| Jun 30, 2021 | -300.00 Mn |
| Dec 31, 2020 | -500.00 Mn |
| Sep 30, 2020 | 497.72 Mn |
| Jun 30, 2020 | -344.00 Mn |
O Reilly Automotive Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();