OLN vs SOLS

Olin Corporation vs Solstice Advanced Materials Inc — Valuation Comparison 2026

OLN

Chemicals & Allied Products
Olin Corporation
Quality
4.4
out of 10
Value Trap
24
SAFE
Price
$25.87
Last close
Models
12/13
Active
VS

SOLS

Chemicals & Allied Products
Solstice Advanced Materials Inc
Quality
8.1
out of 10
Value Trap
Price
$84.23
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType OLN Fair ValueOLN Upside SOLS Fair ValueSOLS Upside
Bayesian DCF Intrinsic $110.93 +328.8% $3.55 -95.8%
Earnings Power Value Intrinsic $44.03 +53.9% $13.27 -84.2%
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 OLN vs SOLS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

OLN vs SOLS — Which Stock Is More Undervalued?

SOLS scores higher with a 8.1/10 quality rating vs OLN's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Olin Corporation (OLN) and Solstice Advanced Materials Inc (SOLS) 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.

OLN currently trades at $25.87 with a QOC of 4.4/10, while SOLS trades at $84.23 with a QOC of 8.1/10.

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).