MREO vs MRVI

Mereo BioPharma Group plc vs Maravai LifeSciences Holdings, — Valuation Comparison 2026

MREO

Biotechnology
Mereo BioPharma Group plc
Quality
5.0
out of 10
Value Trap
12
SAFE
Price
$0.34
Last close
Models
8/13
Active
VS

MRVI

Biotechnology
Maravai LifeSciences Holdings,
Quality
6.4
out of 10
Value Trap
Price
$4.64
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MREO Fair ValueMREO Upside MRVI Fair ValueMRVI Upside
Bayesian DCF Intrinsic $0.17 -50.7% $15.68 +238.0%
Earnings Power Value Intrinsic $0.05 -98.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.85 +146.5% $0.39 -91.6%
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 MREO vs MRVI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MREO vs MRVI — Which Stock Is More Undervalued?

MRVI scores higher with a 6.4/10 quality rating vs MREO's 5.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Mereo BioPharma Group plc (MREO) and Maravai LifeSciences Holdings, (MRVI) 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.

MREO currently trades at $0.34 with a QOC of 5.0/10, while MRVI trades at $4.64 with a QOC of 6.4/10.

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).