DIS vs IMAX

Walt Disney Company (The) vs Imax Corporation — Valuation Comparison 2026

DIS

Entertainment
Walt Disney Company (The)
Quality
8.4
out of 10
Value Trap
Price
$103.73
Last close
Models
13/13
Active
VS

IMAX

Entertainment
Imax Corporation
Quality
7.8
out of 10
Value Trap
12
SAFE
Price
$39.23
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType DIS Fair ValueDIS Upside IMAX Fair ValueIMAX Upside
Bayesian DCF Intrinsic $36.75 -64.6% $19.31 -50.8%
Earnings Power Value Intrinsic $121.82 +17.4% $8.35 -78.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for DIS vs IMAX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

DIS vs IMAX — Which Stock Is More Undervalued?

DIS scores higher with a 8.4/10 quality rating vs IMAX's 7.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Walt Disney Company (The) (DIS) and Imax Corporation (IMAX) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

DIS currently trades at $103.73 with a QOC of 8.4/10, while IMAX trades at $39.23 with a QOC of 7.8/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).