Lithia Motors Inc

Lithia Motors Inc (LAD) Financials

$370.360

-0.667 (-0.18%)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 14.94%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 4.76%, while the net margin is 2.67%. These profitability ratios, combined with a Return on Equity (ROE) of 10.67%, 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 KMX and MUSA. With a market capitalization of $8.30B, it holds a significant position in the sector. When comparing efficiency, LAD's gross margin of 14.94% stands against KMX's 9.80% and MUSA's 10.87%. 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 Motors reported a revenue of $9.8 billion in Q2 2026, a 2% increase year-over-year, and a net income of $260 million for the same quarter, showcasing solid financial performance.

Financials

FY2026Q2
YoY:
+2.17%
9.79B
Total Revenue
FY2026Q2
YoY:
+7.15%
466.10M
Operating Profit
FY2026Q2
YoY:
+1.32%
261.60M
Net Income after Tax
FY2026Q2
YoY:
+16.89%
11.56
EPS - Diluted
FY2026Q2
YoY:
+170.77%
-200.10M
Free Cash Flow
FY2026Q2
YoY:
-0.60%
14.94
Gross Profit Margin - %
FY2026Q2
YoY:
-161.07%
-0.80
FCF Margin - %
FY2026Q2
YoY:
-0.74%
2.67
Net Margin - %
FY2026Q2
YoY:
-18.63%
5.11
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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