AAPLNEUTRAL

EV/EBITDA

27.0x

Higher than 63% of Technology sector peers

Updated 1608h ago

Sector Performance

63th percentile

AAPL

27.0x

Sector Median

17.0x

Sector Avg

8.4x

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Deep Analysis

A company's EV/EBITDA multiple compares its total enterprise value (market cap plus debt minus cash) to its earnings before interest, taxes, depreciation, and amortization — the current 27.0x means investors are paying $27 for each dollar of EBITDA.

This is above the technology sector median of 23.9x, placing Apple in the 61st percentile among peers, indicating a premium valuation. The metric has been perfectly stable over the last eight quarters, with a year-over-year change of +0.0% and a quarter-over-quarter change of +0.0%. A high but steady multiple like this typically suggests limited risk of near-term compression, but it also leaves little room for further expansion without stronger earnings growth. For an investor, this combination points to a valuation that already reflects strong performance, requiring continued execution to justify the premium. This stability and premium directly support the overall BULLISH verdict, as consistent high multiples often indicate durable competitive advantages and predictable cash flows.

Frequently Asked Questions

What does the EV/EBITDA tell investors about AAPL?

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.

How does AAPL's EV/EBITDA compare to its sector?

AAPL's EV/EBITDA of 27.0x compares to a Technology sector median of 17.0x, placing it in the 63th percentile.

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

The closest Technology peers by EV/EBITDA include: GLOB (4.1x), BMBL (3.0x), STEM (2.1x), MSTR (-3.1x), ASAN (-16.7x).

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.