Autonation (AN) Total Non-Current Liabilities (2009 - 2026)
Autonation (AN) reported Total Non-Current Liabilities of $12.8 billion for Q2 2026, up 19.5% from $10.71 billion a year earlier and up 6.8% from the prior quarter.
Autonation (AN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Autonation posted Total Non-Current Liabilities of $11.65 billion, up 14.6% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $10.16 billion in FY2024 (+8.0%), $9.41 billion in FY2023 (+22.5%), $7.68 billion in FY2022 (+23.0%) and $6.24 billion in FY2021 (-1.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 18 quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 29.7%); the low point was Q3 2021 (a decline of 7.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.99 billion (Q1 2026), $11.65 billion (Q4 2025) and $11.29 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,800.16 Bn | 2,316.85 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 311.13 Bn | 304.37 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 161.61 Bn | 139.16 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.45 Bn | 102.42 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.96 Bn | 57.89 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.64 Bn | 72.72 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.74 Bn | 64.33 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 51.64 Bn | 50.54 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 43.22 Bn | 33.71 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Autonation | 5.30 Bn | 5.03 Bn | 1.23 Bn | 12.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.80 Bn |
| Mar 31, 2026 | 11.99 Bn |
| Dec 31, 2025 | 11.65 Bn |
| Sep 30, 2025 | 11.29 Bn |
| Jun 30, 2025 | 10.71 Bn |
| Mar 31, 2025 | 10.54 Bn |
| Dec 31, 2024 | 10.16 Bn |
| Sep 30, 2024 | 10.16 Bn |
| Jun 30, 2024 | 10.28 Bn |
| Mar 31, 2024 | 9.31 Bn |
| Dec 31, 2023 | 9.41 Bn |
| Sep 30, 2023 | 8.75 Bn |
| Jun 30, 2023 | 8.64 Bn |
| Mar 31, 2023 | 8.00 Bn |
| Dec 31, 2022 | 7.68 Bn |
| Sep 30, 2022 | 6.83 Bn |
| Jun 30, 2022 | 6.66 Bn |
| Mar 31, 2022 | 6.68 Bn |
| Dec 31, 2021 | 6.24 Bn |
| Sep 30, 2021 | 5.44 Bn |
Autonation Total Non-Current 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-non-current-liabilities&ticker=AN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();