RIO vs TMC

Rio Tinto Plc vs TMC the metals company Inc. — Valuation Comparison 2026

RIO

Metal Mining
Rio Tinto Plc
Quality
2.2
out of 10
Value Trap
Price
$106.39
Last close
Models
13/13
Active
VS

TMC

Metal Mining
TMC the metals company Inc.
Quality
3.6
out of 10
Value Trap
18
SAFE
Price
$6.05
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType RIO Fair ValueRIO Upside TMC Fair ValueTMC Upside
Bayesian DCF Intrinsic $28.86 -72.9% $1.67 -72.4%
Earnings Power Value Intrinsic $47.89 -54.6% $0.34 -93.6%
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 RIO vs TMC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RIO vs TMC — Which Stock Is More Undervalued?

TMC scores higher with a 3.6/10 quality rating vs RIO's 2.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Rio Tinto Plc (RIO) and TMC the metals company Inc. (TMC) 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.

RIO currently trades at $106.39 with a QOC of 2.2/10, while TMC trades at $6.05 with a QOC of 3.6/10.

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).