SGI vs VIRC

Somnigroup International Inc. vs Virco Manufacturing Corporation — Valuation Comparison 2026

SGI

Furnishings, Fixtures & Appliances
Somnigroup International Inc.
Quality
8.7
out of 10
Value Trap
39
LOW
Price
$71.36
Last close
Models
12/13
Active
VS

VIRC

Furnishings, Fixtures & Appliances
Virco Manufacturing Corporation
Quality
7.3
out of 10
Value Trap
22
SAFE
Price
$6.07
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SGI Fair ValueSGI Upside VIRC Fair ValueVIRC Upside
Bayesian DCF Intrinsic $3.29 -95.4% $2.20 -63.8%
Earnings Power Value Intrinsic $0.91 -98.7% $4.34 -28.4%
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 $•••.•• ••.•% $•••.•• ••.•%
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SGI vs VIRC — Which Stock Is More Undervalued?

SGI scores higher with a 8.7/10 quality rating vs VIRC's 7.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Somnigroup International Inc. (SGI) and Virco Manufacturing Corporation (VIRC) 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.

SGI currently trades at $71.36 with a QOC of 8.7/10, while VIRC trades at $6.07 with a QOC of 7.3/10.

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).