RXRX vs SABS

Recursion Pharmaceuticals, Inc. vs SAB Biotherapeutics, Inc. — Valuation Comparison 2026

RXRX

Biological Products, (No Diagnostic Substances)
Recursion Pharmaceuticals, Inc.
Quality
6.5
out of 10
Value Trap
37
LOW
Price
$3.59
Last close
Models
9/13
Active
VS

SABS

Biological Products, (No Diagnostic Substances)
SAB Biotherapeutics, Inc.
Quality
5.0
out of 10
Value Trap
41
WARN
Price
$3.60
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType RXRX Fair ValueRXRX Upside SABS Fair ValueSABS Upside
Bayesian DCF Intrinsic $1.39 -61.2% $1.27 -64.8%
Earnings Power Value Intrinsic $6.17 +77.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.99 -44.6% $1.90 -47.2%
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 RXRX vs SABS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RXRX vs SABS — Which Stock Is More Undervalued?

RXRX scores higher with a 6.5/10 quality rating vs SABS's 5.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Recursion Pharmaceuticals, Inc. (RXRX) and SAB Biotherapeutics, Inc. (SABS) 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.

RXRX currently trades at $3.59 with a QOC of 6.5/10, while SABS trades at $3.60 with a QOC of 5.0/10.

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).