Asbury Automotive (ABG) Operating Leases (2019 - 2026)
Asbury Automotive's Operating Leases came in at $208.5 million for Q2 2026, up 7.6% from $193.7 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Asbury Automotive (ABG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Asbury Automotive's Operating Leases was $221.6 million, up 10.8% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Going back by year, Operating Leases was $200 million in FY2024 (-10.0%), $222.1 million in FY2023 (+1.7%), $218.4 million in FY2022 (-9.8%) and $242 million in FY2021 (-18.4%).
- The five-year range for quarterly Operating Leases is $193.7 million (Q2 2025) to $242 million (Q4 2021).
- Year-over-year, Operating Leases has increased for four consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2022 (growth of 14.1%), and the weakest in Q3 2021 (a decline of 23.3%).
- Business Quant data shows ABG's Operating Leases at $213.8 million (Q1 2026), $221.6 million (Q4 2025) and $228.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | Asbury Automotive | 3.11 Bn | 2.97 Bn | 753.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.50 Mn |
| Mar 31, 2026 | 213.80 Mn |
| Dec 31, 2025 | 221.60 Mn |
| Sep 30, 2025 | 228.90 Mn |
| Jun 30, 2025 | 193.70 Mn |
| Mar 31, 2025 | 198.80 Mn |
| Dec 31, 2024 | 200.00 Mn |
| Sep 30, 2024 | 204.00 Mn |
| Jun 30, 2024 | 209.30 Mn |
| Mar 31, 2024 | 211.10 Mn |
| Dec 31, 2023 | 222.10 Mn |
| Sep 30, 2023 | 215.80 Mn |
| Jun 30, 2023 | 218.70 Mn |
| Mar 31, 2023 | 224.20 Mn |
| Dec 31, 2022 | 218.40 Mn |
| Sep 30, 2022 | 223.00 Mn |
| Jun 30, 2022 | 227.90 Mn |
| Mar 31, 2022 | 233.30 Mn |
| Dec 31, 2021 | 242.00 Mn |
| Sep 30, 2021 | 202.30 Mn |
API Access
Asbury 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=ABG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ABG", "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=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();