Autonation (AN) Cash & Equivalents (2009 - 2026)
Autonation's Cash & Equivalents came in at $53.3 million for Q2 2026, down 15.3% from $62.9 million a year earlier and down 18.6% from the prior quarter.
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Analysis
Autonation (AN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Autonation's Cash & Equivalents was $58.6 million, down 2.0% from FY2024.
- Cash & Equivalents has declined in each of the last three years, with a five-year compound annual growth rate of -36.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $59.8 million in FY2024 (-1.6%), $60.8 million in FY2023 (-16.3%), $72.6 million in FY2022 (+20.2%) and $60.4 million in FY2021 (-89.4%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q4 2019.
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2022 (growth of 515.1%), and the weakest in Q1 2023 (a decline of 90.4%).
- Business Quant data shows AN's Cash & Equivalents at $65.5 million (Q1 2026), $58.6 million (Q4 2025) and $97.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | - |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Autonation | 5.36 Bn | 5.08 Bn | 1.23 Bn | 53.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.30 Mn |
| Mar 31, 2026 | 65.50 Mn |
| Dec 31, 2025 | 58.60 Mn |
| Sep 30, 2025 | 97.60 Mn |
| Jun 30, 2025 | 62.90 Mn |
| Mar 31, 2025 | 70.50 Mn |
| Dec 31, 2024 | 59.80 Mn |
| Sep 30, 2024 | 60.20 Mn |
| Jun 30, 2024 | 85.90 Mn |
| Mar 31, 2024 | 60.30 Mn |
| Dec 31, 2023 | 60.80 Mn |
| Sep 30, 2023 | 64.00 Mn |
| Jun 30, 2023 | 63.70 Mn |
| Mar 31, 2023 | 58.30 Mn |
| Dec 31, 2022 | 72.60 Mn |
| Sep 30, 2022 | 442.90 Mn |
| Jun 30, 2022 | 336.50 Mn |
| Mar 31, 2022 | 608.10 Mn |
| Dec 31, 2021 | 60.40 Mn |
| Sep 30, 2021 | 72.00 Mn |
API Access
Autonation 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=AN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "AN", "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=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();