SRXH vs WEST

SRX Health Solutions, Inc. vs Westrock Coffee Company — Valuation Comparison 2026

SRXH

Beverages
SRX Health Solutions, Inc.
Quality
3.5
out of 10
Value Trap
49
WARN
Price
$0.11
Last close
Models
8/13
Active
VS

WEST

Beverages
Westrock Coffee Company
Quality
5.6
out of 10
Value Trap
18
SAFE
Price
$8.03
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType SRXH Fair ValueSRXH Upside WEST Fair ValueWEST Upside
Bayesian DCF Intrinsic $0.02 -78.1% $0.19 -97.6%
Earnings Power Value Intrinsic $0.60 +438.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $15.90 +98.0%
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 SRXH vs WEST — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SRXH vs WEST — Which Stock Is More Undervalued?

WEST scores higher with a 5.6/10 quality rating vs SRXH's 3.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing SRX Health Solutions, Inc. (SRXH) and Westrock Coffee Company (WEST) 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.

SRXH currently trades at $0.11 with a QOC of 3.5/10, while WEST trades at $8.03 with a QOC of 5.6/10.

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).