RCUS vs REGN

Arcus Biosciences, Inc. vs Regeneron Pharmaceuticals, Inc. — Valuation Comparison 2026

RCUS

Biotechnology
Arcus Biosciences, Inc.
Quality
6.4
out of 10
Value Trap
26
LOW
Price
$24.48
Last close
Models
12/13
Active
VS

REGN

Biotechnology
Regeneron Pharmaceuticals, Inc.
Quality
9.6
out of 10
Value Trap
14
SAFE
Price
$621.52
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType RCUS Fair ValueRCUS Upside REGN Fair ValueREGN Upside
Bayesian DCF Intrinsic $5.49 -77.6% $613.30 -1.3%
Earnings Power Value Intrinsic $12.78 -49.9% $256.47 -58.7%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

RCUS vs REGN — Which Stock Is More Undervalued?

REGN scores higher with a 9.6/10 quality rating vs RCUS's 6.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Arcus Biosciences, Inc. (RCUS) and Regeneron Pharmaceuticals, Inc. (REGN) 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.

RCUS currently trades at $24.48 with a QOC of 6.4/10, while REGN trades at $621.52 with a QOC of 9.6/10.

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).