AGIO vs ALDX

Agios Pharmaceuticals, Inc. vs Aldeyra Therapeutics, Inc. — Valuation Comparison 2026

AGIO

Biotechnology
Agios Pharmaceuticals, Inc.
Quality
6.0
out of 10
Value Trap
6
SAFE
Price
$30.42
Last close
Models
12/13
Active
VS

ALDX

Biotechnology
Aldeyra Therapeutics, Inc.
Quality
4.5
out of 10
Value Trap
30
LOW
Price
$1.75
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType AGIO Fair ValueAGIO Upside ALDX Fair ValueALDX Upside
Bayesian DCF Intrinsic $8.83 -71.0% $0.96 -45.3%
Earnings Power Value Intrinsic $3.81 -86.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $6.17 -78.6% $0.07 -95.3%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

AGIO vs ALDX — Which Stock Is More Undervalued?

AGIO scores higher with a 6.0/10 quality rating vs ALDX's 4.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Agios Pharmaceuticals, Inc. (AGIO) and Aldeyra Therapeutics, Inc. (ALDX) 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.

AGIO currently trades at $30.42 with a QOC of 6.0/10, while ALDX trades at $1.75 with a QOC of 4.5/10.

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).