LENCAUTIOUS

LEN EV/EBITDA Analysis

11.3x

Updated 561h ago·SEC filings & market data

Key Takeaway

EV/EBITDA measures a company’s total value (market cap plus debt minus cash) against its operating earnings before interest, taxes, depreciation, and amortization; at 11.3x, LEN trades at 11.3 times that earnings figure.

Sector Performance

37th percentile

LEN

11.3x

Sector Median

13.6x

Sector Avg

-30.9x

Prior Period

11.3x(Aug 2026)

→ Stable

📊

Deep Analysis

It sits below the sector median of 13.6x, placing in the 37th percentile among peers, so the stock is cheaper than most comparable companies. The trend is stable: the year-over-year change is +0.0% and the quarter-over-quarter change is +0.3%, with recent readings of 11.3x, 11.2x, 10.9x, 10.8x, and 11.3x. A below-median multiple with a flat trend suggests limited valuation pressure but also no favorable re-rating momentum. This combination reduces downside risk from an expensive entry point, yet offers little upside from compression or expansion. The metric supports the overall CAUTIOUS verdict: valuation is fair but not compelling, and stability does not signal a clear opportunity.

Frequently Asked Questions

What does the EV/EBITDA tell investors about LEN?

A valuation multiple preferred by analysts for capital-intensive or leveraged businesses. Useful for cross-sector comparisons where earnings can be distorted by debt.

How is the EV/EBITDA calculated?

EV/EBITDA is calculated as: Enterprise Value / EBITDA.

Who are LEN's closest peers by EV/EBITDA?

The closest peers by EV/EBITDA include: SMTC (76.6x), SHOP (80.2x), OKTA (83.5x), TEAM (101.4x), STEM (102.7x).

📚

Learn More About EV/EBITDA

EV/EBITDA Explained: The Valuation Metric Pro Investors Actually Use

Learn what EV/EBITDA is, why it beats P/E for capital-heavy companies, typical sector ranges, and key limitations every serious investor should know.

The Formula

Enterprise Value / EBITDA

Why It Matters

A valuation multiple preferred by analysts for capital-intensive or leveraged businesses. Useful for cross-sector comparisons where earnings can be distorted by debt.