ARWR vs ASND

Arrowhead Pharmaceuticals, Inc. vs Ascendis Pharma A/S — Valuation Comparison 2026

ARWR

Biotechnology
Arrowhead Pharmaceuticals, Inc.
Quality
7.4
out of 10
Value Trap
6
SAFE
Price
$79.05
Last close
Models
13/13
Active
VS

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

Model-by-Model Comparison

ModelType ARWR Fair ValueARWR Upside ASND Fair ValueASND Upside
Bayesian DCF Intrinsic $11.16 -85.9% $69.36 -70.8%
Earnings Power Value Intrinsic $10.36 -85.7% $7.22 -96.7%
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 ARWR vs ASND — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ARWR vs ASND — Which Stock Is More Undervalued?

ARWR scores higher with a 7.4/10 quality rating vs ASND's 5.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Arrowhead Pharmaceuticals, Inc. (ARWR) and Ascendis Pharma A/S (ASND) 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.

ARWR currently trades at $79.05 with a QOC of 7.4/10, while ASND trades at $237.47 with a QOC of 5.9/10.

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).