Asbury Automotive (ABG) Cash & Equivalents (2010 - 2026)
Asbury Automotive's Cash & Equivalents was $30.4 million in Q2 2026, down 44.5% from $54.8 million a year earlier but up 20.2% from the prior quarter.
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Analysis
Asbury Automotive (ABG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Asbury Automotive came in at $40.4 million, down 41.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 95.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $69.4 million in FY2024 (+51.9%), $45.7 million in FY2023 (-80.6%), $235.3 million in FY2022 (+31.5%) and $178.9 million in FY2021.
- Quarterly Cash & Equivalents has moved between $25.3 million (Q1 2026) and $330.6 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for five straight quarters, with growth averaging 24.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2022 (growth of 922.7%); the worst was Q1 2024 (a decline of 90.2%).
- Per Business Quant data, ABG's Cash & Equivalents in the three quarters before Q2 2026 was $25.3 million (Q1 2026), $40.4 million (Q4 2025) and $32.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Asbury Automotive | 3.10 Bn | 2.96 Bn | 753.10 Mn | 30.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.40 Mn |
| Mar 31, 2026 | 25.30 Mn |
| Dec 31, 2025 | 40.40 Mn |
| Sep 30, 2025 | 32.20 Mn |
| Jun 30, 2025 | 54.80 Mn |
| Mar 31, 2025 | 124.60 Mn |
| Dec 31, 2024 | 69.40 Mn |
| Sep 30, 2024 | 60.30 Mn |
| Jun 30, 2024 | 67.20 Mn |
| Mar 31, 2024 | 29.00 Mn |
| Dec 31, 2023 | 45.70 Mn |
| Sep 30, 2023 | 41.60 Mn |
| Jun 30, 2023 | 77.50 Mn |
| Mar 31, 2023 | 296.80 Mn |
| Dec 31, 2022 | 235.30 Mn |
| Sep 30, 2022 | 141.30 Mn |
| Jun 30, 2022 | 100.10 Mn |
| Mar 31, 2022 | 284.30 Mn |
| Dec 31, 2021 | 178.90 Mn |
| Sep 30, 2021 | 330.60 Mn |
API Access
Asbury Automotive Cash & Equivalents 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=cash-and-equivalents&ticker=ABG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();