BIRK vs SHOO

Birkenstock Holding plc vs Steven Madden, Ltd. — Valuation Comparison 2026

BIRK

Footwear, (No Rubber)
Birkenstock Holding plc
Quality
8.0
out of 10
Value Trap
6
SAFE
Price
$45.07
Last close
Models
12/13
Active
VS

SHOO

Footwear, (No Rubber)
Steven Madden, Ltd.
Quality
7.4
out of 10
Value Trap
12
SAFE
Price
$43.44
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType BIRK Fair ValueBIRK Upside SHOO Fair ValueSHOO Upside
Bayesian DCF Intrinsic $34.98 -22.4% $19.13 -56.0%
Earnings Power Value Intrinsic $22.59 -49.9% $1.94 -95.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 BIRK vs SHOO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BIRK vs SHOO — Which Stock Is More Undervalued?

BIRK scores higher with a 8.0/10 quality rating vs SHOO's 7.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Birkenstock Holding plc (BIRK) and Steven Madden, Ltd. (SHOO) 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.

BIRK currently trades at $45.07 with a QOC of 8.0/10, while SHOO trades at $43.44 with a QOC of 7.4/10.

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).