Valuing Apple When the Methods Disagree.
FCFF DCF, dividend discount, and peer P/E produced dramatically different answers. The useful work was not averaging them—it was understanding which economic assumptions made each result sensible.
My ownership
I led the team’s Part 3 valuation work and did major report/data/citation reconciliation and QA.
FCFF as the primary intrinsic-value framework
The primary intrinsic-value method forecast 2026–2030 revenue from $477.27B to $639.67B and EBIT from $155.76B to $203.21B. Historical reinvestment relationships produced modeled FCFF from about $132.91B to $173.41B.
Discount rate and terminal assumptions
I derived a 9.01% WACC from CAPM/capital-structure inputs and used 3.0% terminal growth. The final FCFF equity value was $174.76/share.
Why the DDM was mechanically valid but economically narrow
The DDM output was only $22.03/share. Rather than treating it as simply “the low estimate,” the report interpreted the method as less informative for Apple because FY2025 repurchases (~$90.7B) dramatically exceeded dividends (~$15.4B). A dividend-only model was ignoring most of the payout policy.
What the peer multiple said about market expectations
A peer median P/E of 18.84× applied to $7.46 diluted EPS produced $140.55/share. Apple’s market P/E around 35.04× highlighted the size of the valuation premium the market was assigning relative to the peer set.
Why averaging would have destroyed information
The DDM, peer multiple, and FCFF model encode different economic assumptions. Treating them as three votes would erase the information in their disagreement. I used the spread to ask what each method was sensitive to—payout policy, peer expectations, or operating cash generation—before deciding which result deserved the most weight.
QA became part of the valuation work
I also reconciled citations, source data, and output inconsistencies across the team deliverable, corrected a mismatched section, and standardized the final report and presentation figures. That work reinforced a broader lesson: valuation quality depends on lineage. A polished chart is only trustworthy if the assumptions, source values, and displayed output all point to the same underlying model.
The recommendation contained a real tension
The final team recommendation was a near-term BUY even though all three valuation methods sat below the August 17 market price. The reasoning was therefore not “Apple is cheap.” It depended on operating momentum, analyst expectations, and the possibility that Apple could continue sustaining a premium. I find that tension more useful than forcing the valuation and recommendation to tell the same story.
What I carried forward
Valuation methods are not votes. Their disagreements often reveal assumptions about payout policy, growth, capital structure, and market expectations. The model is only useful if those differences are interpreted rather than averaged away.