Lithia Motors (LAD) Total Current Liabilities (2010 - 2026)
Lithia Motors' Total Current Liabilities came in at $8.25 billion for Q2 2026, up 26.6% from $6.51 billion a year earlier and up 0.6% from the prior quarter.
Lithia Motors (LAD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lithia Motors' Total Current Liabilities was $6.7 billion, up 2.2% from FY2024.
- Total Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $6.55 billion in FY2024 (+32.8%), $4.93 billion in FY2023 (+55.2%), $3.18 billion in FY2022 (+32.3%) and $2.4 billion in FY2021 (-3.1%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2024 (growth of 73.4%), and the weakest in Q2 2025 (a decline of 7.2%).
- Business Quant data shows LAD's Total Current Liabilities at $8.2 billion (Q1 2026), $6.7 billion (Q4 2025) and $6.53 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 8.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.25 Bn |
| Mar 31, 2026 | 8.20 Bn |
| Dec 31, 2025 | 6.70 Bn |
| Sep 30, 2025 | 6.53 Bn |
| Jun 30, 2025 | 6.51 Bn |
| Mar 31, 2025 | 6.62 Bn |
| Dec 31, 2024 | 6.55 Bn |
| Sep 30, 2024 | 6.66 Bn |
| Jun 30, 2024 | 7.02 Bn |
| Mar 31, 2024 | 6.59 Bn |
| Dec 31, 2023 | 4.93 Bn |
| Sep 30, 2023 | 4.38 Bn |
| Jun 30, 2023 | 4.05 Bn |
| Mar 31, 2023 | 3.95 Bn |
| Dec 31, 2022 | 3.18 Bn |
| Sep 30, 2022 | 2.83 Bn |
| Jun 30, 2022 | 2.61 Bn |
| Mar 31, 2022 | 2.83 Bn |
| Dec 31, 2021 | 2.40 Bn |
| Sep 30, 2021 | 2.18 Bn |
Lithia Motors Total 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-current-liabilities&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();