O Reilly Automotive (ORLY) Interest Paid (2009 - 2026)
O Reilly Automotive (ORLY) reported Interest Paid of $61.41 million for Q3 2026, up 47.2% from $41.72 million a year earlier but down 18.9% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Interest Paid (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, O Reilly Automotive's Interest Paid came in at $255.34 million, up 15.0% year-over-year; for FY2025, it was $226.75 million, up 8.4% from FY2024.
- Interest Paid has increased for four consecutive years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- By year, Interest Paid came in at $209.09 million in FY2024 (+10.3%), $189.61 million in FY2023 (+21.7%), $155.85 million in FY2022 (+8.0%) and $144.29 million in FY2021 (-9.7%).
- Five-year quarterly Interest Paid spans a low of $26.53 million in Q1 2023 and a high of $75.78 million in Q2 2024.
- Year over year, Interest Paid has now increased in each of the last five quarters, with growth averaging 16.9% over the last eight quarters.
- The high point for year-over-year Interest Paid in five years was Q2 2023 (growth of 69.5%); the low point was Q3 2024 (a decline of 24.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $75.73 million (Q2 2026), $43.54 million (Q1 2026) and $74.66 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,583.91 Bn | 2,583.91 Bn | - | - |
| 2 | Home Depot | 327.32 Bn | 320.57 Bn | 16.12 Bn | 531.00 Mn |
| 3 | Tjx Companies | 155.16 Bn | 132.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 116.41 Bn | 109.37 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 72.96 Bn | 72.96 Bn | 2.68 Bn | 61.41 Mn |
| 6 | Ross Stores | 72.59 Bn | 55.51 Bn | 2.12 Bn | - |
| 7 | Target | 69.63 Bn | 64.22 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 9 | Carvana | 49.71 Bn | 39.29 Bn | 1.52 Bn | - |
| 10 | JD.com | 36.48 Bn | -83.72 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.41 Mn |
| Jun 30, 2026 | 75.73 Mn |
| Mar 31, 2026 | 43.54 Mn |
| Dec 31, 2025 | 74.66 Mn |
| Sep 30, 2025 | 41.72 Mn |
| Jun 30, 2025 | 70.95 Mn |
| Mar 31, 2025 | 39.42 Mn |
| Dec 31, 2024 | 69.87 Mn |
| Sep 30, 2024 | 28.78 Mn |
| Jun 30, 2024 | 75.78 Mn |
| Mar 31, 2024 | 34.67 Mn |
| Dec 31, 2023 | 62.53 Mn |
| Sep 30, 2023 | 38.16 Mn |
| Jun 30, 2023 | 62.39 Mn |
| Mar 31, 2023 | 26.53 Mn |
| Dec 31, 2022 | 56.18 Mn |
| Sep 30, 2022 | 31.36 Mn |
| Jun 30, 2022 | 36.80 Mn |
| Mar 31, 2022 | 31.51 Mn |
| Dec 31, 2021 | 36.32 Mn |
API Access
O Reilly Automotive Interest Paid 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=interest-paid&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();