Lithia Motors (LAD) Total Non-Current Liabilities (2010 - 2026)
Lithia Motors (LAD) reported Total Non-Current Liabilities of $19.33 billion for Q2 2026, up 15.1% from $16.79 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Lithia Motors (LAD) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lithia Motors posted Total Non-Current Liabilities of $18.01 billion, up 11.6% from FY2024.
- Total Non-Current Liabilities has increased for 15 consecutive years, with a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $16.13 billion in FY2024 (+22.4%), $13.17 billion in FY2023 (+37.4%), $9.59 billion in FY2022 (+50.6%) and $6.37 billion in FY2021 (+25.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 24 quarters, with growth averaging 14.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 1.6% in Q2 2025 to 62.0% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.86 billion (Q1 2026), $18.01 billion (Q4 2025) and $17.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 19.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.33 Bn |
| Mar 31, 2026 | 18.86 Bn |
| Dec 31, 2025 | 18.01 Bn |
| Sep 30, 2025 | 17.34 Bn |
| Jun 30, 2025 | 16.79 Bn |
| Mar 31, 2025 | 16.36 Bn |
| Dec 31, 2024 | 16.13 Bn |
| Sep 30, 2024 | 16.33 Bn |
| Jun 30, 2024 | 16.53 Bn |
| Mar 31, 2024 | 15.53 Bn |
| Dec 31, 2023 | 13.17 Bn |
| Sep 30, 2023 | 12.00 Bn |
| Jun 30, 2023 | 11.69 Bn |
| Mar 31, 2023 | 10.79 Bn |
| Dec 31, 2022 | 9.59 Bn |
| Sep 30, 2022 | 8.90 Bn |
| Jun 30, 2022 | 8.14 Bn |
| Mar 31, 2022 | 7.02 Bn |
| Dec 31, 2021 | 6.37 Bn |
| Sep 30, 2021 | 5.49 Bn |
API Access
Lithia Motors 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=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LAD", "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=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();