SION vs SLNO

Sionna Therapeutics, Inc. vs Soleno Therapeutics, Inc. — Valuation Comparison 2026

SION

Pharmaceutical Preparations
Sionna Therapeutics, Inc.
Quality
4.3
out of 10
Value Trap
Price
$42.82
Last close
Models
10/13
Active
VS

SLNO

Pharmaceutical Preparations
Soleno Therapeutics, Inc.
Quality
7.1
out of 10
Value Trap
18
SAFE
Price
$53.01
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType SION Fair ValueSION Upside SLNO Fair ValueSLNO Upside
Bayesian DCF Intrinsic $7.15 -83.3% $13.39 -74.7%
Earnings Power Value Intrinsic $15.97 -58.1% $2.73 -94.8%
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 SION vs SLNO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SION vs SLNO — Which Stock Is More Undervalued?

SLNO scores higher with a 7.1/10 quality rating vs SION's 4.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Sionna Therapeutics, Inc. (SION) and Soleno Therapeutics, Inc. (SLNO) 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.

SION currently trades at $42.82 with a QOC of 4.3/10, while SLNO trades at $53.01 with a QOC of 7.1/10.

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).