Equity valuation · Apple · 8 min read

When valuation methods disagree, don’t average them.

Three valuation methods gave us three very different answers. The spread was not noise to smooth away; it was evidence that the methods were pricing different parts of the business and different investor expectations.

In our Apple valuation project, the three headline outputs were far apart: $174.76/share from FCFF, $22.03 from DDM, and $140.55 from peer P/E.

The temptation is to treat three methods as three votes and average them. That would have missed the most interesting part of the project.

The DDM was not wrong—it was answering a narrower question

Apple returned far more capital through repurchases than dividends. FY2025 repurchases were roughly $90.7B versus about $15.4B of dividends. A dividend-discount model was therefore capitalizing a payout stream that represented only part of Apple’s total shareholder-return policy.

That made the $22.03 result a useful warning about model suitability rather than a number to give one-third weight in a blended target.

Peer P/E exposed the premium embedded in the market price

The peer median multiple was 18.84×, while Apple’s market P/E was around 35.04×. Applying the peer median to $7.46 diluted EPS produced $140.55/share.

The question was therefore not merely what peers imply. It was what Apple has to keep proving for a much higher multiple to remain justified.

FCFF was the broadest intrinsic-value framework

The FCFF approach explicitly modeled operating performance, reinvestment, WACC, terminal growth, enterprise value, and the cash/debt bridge to equity value. It therefore captured operating cash generation regardless of whether Apple chose dividends or repurchases as the distribution mechanism.

That did not make $174.76 the true value. It made FCFF the method whose economic scope best matched the question we were asking.

The market price introduced a fourth, different signal

At roughly $305.59 during the project, the market price sat well above all three model outputs. That meant our final near-term BUY recommendation could not honestly be framed as a simple undervaluation thesis. It depended on operating momentum, analyst expectations, and the possibility that Apple could sustain an unusually high premium.

My takeaway: disagreement between models is often information. The question is not which number wins, but which economic assumptions make each number sensible—and what would have to remain true for the market to justify the gap.

Reconciliation was part of the valuation work

I also spent substantial time reconciling source data, citations, section outputs, and presentation figures. A valuation is only as credible as its lineage. If the report, spreadsheet, and chart do not point to the same assumptions, the precision of the final number is meaningless.