RNAC vs ROIV

Cartesian Therapeutics, Inc. vs Roivant Sciences Ltd. — Valuation Comparison 2026

RNAC

Biotechnology
Cartesian Therapeutics, Inc.
Quality
4.4
out of 10
Value Trap
39
LOW
Price
$7.21
Last close
Models
7/13
Active
VS

ROIV

Biotechnology
Roivant Sciences Ltd.
Quality
5.4
out of 10
Value Trap
16
SAFE
Price
$29.88
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType RNAC Fair ValueRNAC Upside ROIV Fair ValueROIV Upside
Bayesian DCF Intrinsic $5.09 -28.0% $10.62 -64.5%
Earnings Power Value Intrinsic $14.83 -45.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $10.81 +49.9% $27.60 -7.6%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for RNAC vs ROIV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RNAC vs ROIV — Which Stock Is More Undervalued?

ROIV scores higher with a 5.4/10 quality rating vs RNAC's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Cartesian Therapeutics, Inc. (RNAC) and Roivant Sciences Ltd. (ROIV) 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.

RNAC currently trades at $7.21 with a QOC of 4.4/10, while ROIV trades at $29.88 with a QOC of 5.4/10.

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).