MIR vs TMO

Mirion Technologies, Inc. vs Thermo Fisher Scientific Inc — Valuation Comparison 2026

MIR

Measuring & Controlling Devices, NEC
Mirion Technologies, Inc.
Quality
5.8
out of 10
Value Trap
17
SAFE
Price
$18.28
Last close
Models
13/13
Active
VS

TMO

Measuring & Controlling Devices, NEC
Thermo Fisher Scientific Inc
Quality
9.0
out of 10
Value Trap
8
SAFE
Price
$492.51
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MIR Fair ValueMIR Upside TMO Fair ValueTMO Upside
Bayesian DCF Intrinsic $0.21 -98.8% $244.64 -50.3%
Earnings Power Value Intrinsic $2.90 -85.3% $28.34 -94.2%
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 MIR vs TMO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MIR vs TMO — Which Stock Is More Undervalued?

TMO scores higher with a 9.0/10 quality rating vs MIR's 5.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Mirion Technologies, Inc. (MIR) and Thermo Fisher Scientific Inc (TMO) 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.

MIR currently trades at $18.28 with a QOC of 5.8/10, while TMO trades at $492.51 with a QOC of 9.0/10.

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).