ATRA vs BCAB

Atara Biotherapeutics, Inc. vs BioAtla, Inc. — Valuation Comparison 2026

ATRA

Biological Products, (No Diagnostic Substances)
Atara Biotherapeutics, Inc.
Quality
4.8
out of 10
Value Trap
18
SAFE
Price
$10.51
Last close
Models
10/13
Active
VS

BCAB

Biological Products, (No Diagnostic Substances)
BioAtla, Inc.
Quality
3.4
out of 10
Value Trap
30
LOW
Price
$3.93
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType ATRA Fair ValueATRA Upside BCAB Fair ValueBCAB Upside
Bayesian DCF Intrinsic $1.88 -82.2% $1.60 -59.2%
Earnings Power Value Intrinsic $49.72 +496.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $11.00 +4.6% $22.05 +461.0%
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 ATRA vs BCAB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ATRA vs BCAB — Which Stock Is More Undervalued?

ATRA scores higher with a 4.8/10 quality rating vs BCAB's 3.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Atara Biotherapeutics, Inc. (ATRA) and BioAtla, Inc. (BCAB) 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.

ATRA currently trades at $10.51 with a QOC of 4.8/10, while BCAB trades at $3.93 with a QOC of 3.4/10.

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).