INO vs IRON

Inovio Pharmaceuticals, Inc. vs Disc Medicine, Inc. — Valuation Comparison 2026

INO

Pharmaceutical Preparations
Inovio Pharmaceuticals, Inc.
Quality
4.3
out of 10
Value Trap
47
WARN
Price
$1.31
Last close
Models
8/13
Active
VS

IRON

Pharmaceutical Preparations
Disc Medicine, Inc.
Quality
4.2
out of 10
Value Trap
12
SAFE
Price
$69.57
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType INO Fair ValueINO Upside IRON Fair ValueIRON Upside
Bayesian DCF Intrinsic $0.46 -65.0% $20.84 -70.0%
Earnings Power Value Intrinsic $32.12 -53.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $2.08 +58.8% $14.01 -79.9%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

INO vs IRON — Which Stock Is More Undervalued?

INO scores higher with a 4.3/10 quality rating vs IRON's 4.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Inovio Pharmaceuticals, Inc. (INO) and Disc Medicine, Inc. (IRON) 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.

INO currently trades at $1.31 with a QOC of 4.3/10, while IRON trades at $69.57 with a QOC of 4.2/10.

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).