AMWD vs COOK

American Woodmark Corporation vs Traeger, Inc. — Valuation Comparison 2026

AMWD

Furnishings, Fixtures & Appliances
American Woodmark Corporation
Quality
6.4
out of 10
Value Trap
12
SAFE
Price
$48.09
Last close
Models
13/13
Active
VS

COOK

Furnishings, Fixtures & Appliances
Traeger, Inc.
Quality
6.2
out of 10
Value Trap
12
SAFE
Price
$65.50
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType AMWD Fair ValueAMWD Upside COOK Fair ValueCOOK Upside
Bayesian DCF Intrinsic $38.12 -20.7% $183.47 +244.6%
Earnings Power Value Intrinsic $5.76 -88.0% $30.97 -24.4%
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 AMWD vs COOK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AMWD vs COOK — Which Stock Is More Undervalued?

AMWD scores higher with a 6.4/10 quality rating vs COOK's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing American Woodmark Corporation (AMWD) and Traeger, Inc. (COOK) 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.

AMWD currently trades at $48.09 with a QOC of 6.4/10, while COOK trades at $65.50 with a QOC of 6.2/10.

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).