AS vs COLM

Amer Sports, Inc. vs Columbia Sportswear Company — Valuation Comparison 2026

AS

Apparel & Other Finishd Prods of Fabrics & Similar Matl
Amer Sports, Inc.
Quality
2.0
out of 10
Value Trap
Price
$35.58
Last close
Models
13/13
Active
VS

COLM

Apparel & Other Finishd Prods of Fabrics & Similar Matl
Columbia Sportswear Company
Quality
7.2
out of 10
Value Trap
20
SAFE
Price
$66.18
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType AS Fair ValueAS Upside COLM Fair ValueCOLM Upside
Bayesian DCF Intrinsic $8.47 -76.2% $36.59 -44.7%
Earnings Power Value Intrinsic $9.53 -74.4% $9.19 -86.1%
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 AS vs COLM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AS vs COLM — Which Stock Is More Undervalued?

COLM scores higher with a 7.2/10 quality rating vs AS's 2.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Amer Sports, Inc. (AS) and Columbia Sportswear Company (COLM) 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.

AS currently trades at $35.58 with a QOC of 2.0/10, while COLM trades at $66.18 with a QOC of 7.2/10.

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).