SNOA vs TAK

Sonoma Pharmaceuticals, Inc. vs Takeda Pharmaceutical Company L — Valuation Comparison 2026

SNOA

Drug Manufacturers - Specialty & Generic
Sonoma Pharmaceuticals, Inc.
Quality
5.4
out of 10
Value Trap
27
LOW
Price
$1.11
Last close
Models
8/13
Active
VS

TAK

Drug Manufacturers - Specialty & Generic
Takeda Pharmaceutical Company L
Quality
7.4
out of 10
Value Trap
39
LOW
Price
$16.15
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SNOA Fair ValueSNOA Upside TAK Fair ValueTAK Upside
Bayesian DCF Intrinsic $0.67 -39.9% $36.28 +124.6%
Earnings Power Value Intrinsic $21.75 +34.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $0.69 -35.9% $34.59 +114.2%
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 $•••.•• ••.•% $•••.•• ••.•%
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SNOA vs TAK — Which Stock Is More Undervalued?

TAK scores higher with a 7.4/10 quality rating vs SNOA's 5.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Sonoma Pharmaceuticals, Inc. (SNOA) and Takeda Pharmaceutical Company L (TAK) 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.

SNOA currently trades at $1.11 with a QOC of 5.4/10, while TAK trades at $16.15 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).