O Reilly Automotive (ORLY) Operating Leases (2019 - 2026)
O Reilly Automotive (ORLY) recorded Operating Leases of $2.12 billion in Q2 2026, up 3.2% from $2.06 billion a year earlier and up 1.4% from the prior quarter.
Powered by 
Analysis
O Reilly Automotive (ORLY) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive reported Operating Leases of $2.03 billion, up 2.7% from FY2024.
- Annual Operating Leases has increased for four straight years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $1.98 billion in FY2024 (+5.3%), $1.88 billion in FY2023 (+4.1%), $1.81 billion in FY2022 (+6.2%) and $1.7 billion in FY2021 (-1.0%).
- The Q2 2026 figure is the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has increased for 16 consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 11.1% in Q2 2023, against a decline of 3.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.09 billion (Q1 2026), $2.03 billion (Q4 2025) and $2.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Bn |
| Mar 31, 2026 | 2.09 Bn |
| Dec 31, 2025 | 2.03 Bn |
| Sep 30, 2025 | 2.05 Bn |
| Jun 30, 2025 | 2.06 Bn |
| Mar 31, 2025 | 2.03 Bn |
| Dec 31, 2024 | 1.98 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 1.90 Bn |
| Dec 31, 2023 | 1.88 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.87 Bn |
| Mar 31, 2023 | 1.85 Bn |
| Dec 31, 2022 | 1.81 Bn |
| Sep 30, 2022 | 1.81 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 1.70 Bn |
| Sep 30, 2021 | 1.73 Bn |
API Access
O Reilly Automotive Operating Leases 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=operating-leases&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();