ASND vs ATRA

Ascendis Pharma A/S vs Atara Biotherapeutics, Inc. — Valuation Comparison 2026

ASND

Biotechnology
Ascendis Pharma A/S
Quality
5.9
out of 10
Value Trap
6
SAFE
Price
$237.47
Last close
Models
12/13
Active
VS

ATRA

Biotechnology
Atara Biotherapeutics, Inc.
Quality
4.8
out of 10
Value Trap
18
SAFE
Price
$11.26
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType ASND Fair ValueASND Upside ATRA Fair ValueATRA Upside
Bayesian DCF Intrinsic $69.36 -70.8% $2.31 -79.5%
Earnings Power Value Intrinsic $7.22 -96.7% $49.72 +496.1%
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 ASND vs ATRA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ASND vs ATRA — Which Stock Is More Undervalued?

ASND scores higher with a 5.9/10 quality rating vs ATRA's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Ascendis Pharma A/S (ASND) and Atara Biotherapeutics, Inc. (ATRA) 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.

ASND currently trades at $237.47 with a QOC of 5.9/10, while ATRA trades at $11.26 with a QOC of 4.8/10.

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).