Lithia Motors Inc

Lithia Motors Inc (LAD) Financials

$295.570

+4.581 (+1.55%)At close

LAD Revenue Streams

Lithia Motors Inc (LAD) generates its revenue primarily from Vehicle Operations, which accounts for 100.0% of total sales, equivalent to $9.79B. Understanding this concentration is critical for investors evaluating how LAD navigates market cycles within the Auto Vehicles, Parts & Service Retailers industry.

LAD Profitability and Margins

Evaluating the bottom line, Lithia Motors Inc maintains a gross margin of 14.64%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 4.29%, while the net margin is 2.94%. These profitability ratios, combined with a Return on Equity (ROE) of 11.76%, provide a clear picture of how effectively LAD converts its operational activities into shareholder value.

LAD Comparative Benchmarking

In the context of the broader market, LAD competes directly with industry leaders such as RUSHA and KMX. With a market capitalization of $6.40B, it holds a significant position in the sector. When comparing efficiency, LAD's gross margin of 14.64% stands against RUSHA's 18.03% and KMX's 9.26%. Such benchmarking helps identify whether Lithia Motors Inc is trading at a premium or discount relative to its financial performance.

Lithia Motors Inc Financial Performance

Lithia reported a Q3 revenue of $9.9 billion, a 3% year-over-year increase, and a net income of $291.1 million, reflecting strong operational performance despite market challenges.

Financials

FY2026Q3
YoY:
+2.80%
9.95B
Total Revenue
FY2026Q3
YoY:
+0.52%
426.80M
Operating Profit
FY2026Q3
YoY:
+33.99%
292.90M
Net Income after Tax
FY2026Q3
YoY:
+53.48%
13.23
EPS - Diluted
FY2026Q3
YoY:
+584.62%
-204.70M
Free Cash Flow
FY2026Q3
YoY:
-0.20%
14.64
Gross Profit Margin - %
FY2026Q3
YoY:
-295.31%
-1.25
FCF Margin - %
FY2026Q3
YoY:
+30.09%
2.94
Net Margin - %
FY2026Q3
YoY:
-13.20%
5.39
ROIC

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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