PAASNEUTRAL

PAAS EV/EBITDA Analysis

8.8x

Updated 15h ago·SEC filings & market data

Key Takeaway

PAAS currently trades at an EV/EBITDA of 8.8x, meaning the company’s enterprise value (market cap plus debt minus cash) is 8.8 times its earnings before interest, taxes, depreciation, and amortization — a common measure of valuation.

Sector Performance

25th percentile

PAAS

8.8x

Sector Median

13.8x

Sector Avg

15.7x

Prior Period

9.0x(Jul 2026)

↑ Improving

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Deep Analysis

This is well below the sector median of 13.8x, placing PAAS in the 25th percentile among peers, indicating it is relatively cheap compared to the typical company in its group. The metric has been stable over the last eight quarters, with a year-over-year decline of -8.4% and a quarter-over-quarter drop of -1.7%, showing gradual compression rather than a sharp move. A low EV/EBITDA combined with a stable downward trend suggests limited upside catalyst from valuation alone, but also caps downside risk if earnings hold. This metric supports the overall NEUTRAL verdict because the low multiple offers a margin of safety, yet the lack of expansion provides no clear bullish signal.

Frequently Asked Questions

What does the EV/EBITDA tell investors about PAAS?

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 PAAS's closest peers by EV/EBITDA?

The closest peers by EV/EBITDA include: EDIT (-2.2x), NIO (-36.8x), SNAP (-38.8x), RBLX (-39.0x), LI (-47.0x).

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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.