Lithia Motors (LAD) Cash & Equivalents (2010 - 2026)
Lithia Motors' Cash & Equivalents came in at $363.9 million for Q2 2026, down 10.0% from $404.4 million a year earlier and down 13.6% from the prior quarter.
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Analysis
Lithia Motors (LAD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lithia Motors' Cash & Equivalents was $341.8 million, down 15.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $402.2 million in FY2024 (-57.3%), $941.4 million in FY2023 (+281.6%), $246.7 million in FY2022 (+41.1%) and $174.8 million in FY2021 (+7.6%).
- The five-year range for quarterly Cash & Equivalents is $113.2 million (Q2 2022) to $941.4 million (Q4 2023).
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 7.7% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 281.6%), and the weakest in Q2 2022 (a decline of 85.7%).
- Business Quant data shows LAD's Cash & Equivalents at $421.3 million (Q1 2026), $341.8 million (Q4 2025) and $417.1 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 | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 363.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 363.90 Mn |
| Mar 31, 2026 | 421.30 Mn |
| Dec 31, 2025 | 341.80 Mn |
| Sep 30, 2025 | 417.10 Mn |
| Jun 30, 2025 | 404.40 Mn |
| Mar 31, 2025 | 430.30 Mn |
| Dec 31, 2024 | 402.20 Mn |
| Sep 30, 2024 | 359.50 Mn |
| Jun 30, 2024 | 674.80 Mn |
| Mar 31, 2024 | 404.60 Mn |
| Dec 31, 2023 | 941.40 Mn |
| Sep 30, 2023 | 256.20 Mn |
| Jun 30, 2023 | 199.70 Mn |
| Mar 31, 2023 | 299.40 Mn |
| Dec 31, 2022 | 246.70 Mn |
| Sep 30, 2022 | 233.00 Mn |
| Jun 30, 2022 | 113.20 Mn |
| Mar 31, 2022 | 161.40 Mn |
| Dec 31, 2021 | 174.80 Mn |
| Sep 30, 2021 | 152.80 Mn |
API Access
Lithia Motors 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=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();