Autonation (AN) Total Liabilities (2009 - 2026)
Autonation (AN) posted Total Liabilities of $13.23 billion for Q2 2026, up 19.1% from $11.1 billion a year earlier and up 6.7% from the prior quarter.
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Analysis
Autonation (AN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Autonation's Total Liabilities came in at $12.05 billion, up 14.3% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In prior years, Autonation's Total Liabilities was $10.54 billion in FY2024 (+7.9%), $9.77 billion in FY2023 (+21.9%), $8.01 billion in FY2022 (+22.0%) and $6.57 billion in FY2021 (-1.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 18 quarters, with growth averaging 12.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 28.7%; the weakest was Q3 2021, with a decline of 6.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $12.4 billion (Q1 2026), $12.05 billion (Q4 2025) and $11.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Autonation | 5.36 Bn | 5.08 Bn | 1.23 Bn | 13.23 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.23 Bn |
| Mar 31, 2026 | 12.40 Bn |
| Dec 31, 2025 | 12.05 Bn |
| Sep 30, 2025 | 11.69 Bn |
| Jun 30, 2025 | 11.10 Bn |
| Mar 31, 2025 | 10.92 Bn |
| Dec 31, 2024 | 10.54 Bn |
| Sep 30, 2024 | 10.54 Bn |
| Jun 30, 2024 | 10.65 Bn |
| Mar 31, 2024 | 9.68 Bn |
| Dec 31, 2023 | 9.77 Bn |
| Sep 30, 2023 | 9.10 Bn |
| Jun 30, 2023 | 8.99 Bn |
| Mar 31, 2023 | 8.34 Bn |
| Dec 31, 2022 | 8.01 Bn |
| Sep 30, 2022 | 7.16 Bn |
| Jun 30, 2022 | 6.98 Bn |
| Mar 31, 2022 | 7.01 Bn |
| Dec 31, 2021 | 6.57 Bn |
| Sep 30, 2021 | 5.78 Bn |
API Access
Autonation Total Liabilities 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=total-liabilities&ticker=AN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();