IOSP vs PRM

Innospec Inc. vs Perimeter Solutions, SA — Valuation Comparison 2026

IOSP

Chemicals & Allied Products
Innospec Inc.
Quality
8.4
out of 10
Value Trap
6
SAFE
Price
$82.94
Last close
Models
13/13
Active
VS

PRM

Chemicals & Allied Products
Perimeter Solutions, SA
Quality
4.2
out of 10
Value Trap
46
WARN
Price
$32.28
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType IOSP Fair ValueIOSP Upside PRM Fair ValuePRM Upside
Bayesian DCF Intrinsic $34.43 -58.5% $2.44 -92.4%
Earnings Power Value Intrinsic $56.82 -31.5% $4.62 -84.8%
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 IOSP vs PRM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

IOSP vs PRM — Which Stock Is More Undervalued?

IOSP scores higher with a 8.4/10 quality rating vs PRM's 4.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Innospec Inc. (IOSP) and Perimeter Solutions, SA (PRM) 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.

IOSP currently trades at $82.94 with a QOC of 8.4/10, while PRM trades at $32.28 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).