MLM vs TECK

Martin Marietta Materials, Inc. vs Teck Resources Ltd — Valuation Comparison 2026

MLM

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
Martin Marietta Materials, Inc.
Quality
7.6
out of 10
Value Trap
14
SAFE
Price
$581.64
Last close
Models
13/13
Active
VS

TECK

Mining & Quarrying of Nonmetallic Minerals (No Fuels)
Teck Resources Ltd
Quality
7.3
out of 10
Value Trap
Price
$66.16
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType MLM Fair ValueMLM Upside TECK Fair ValueTECK Upside
Bayesian DCF Intrinsic $157.06 -73.0% $22.70 -65.7%
Earnings Power Value Intrinsic $62.04 -89.9% $17.95 -72.9%
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 $•••.•• ••.•% $•••.•• ••.•%
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MLM vs TECK — Which Stock Is More Undervalued?

MLM scores higher with a 7.6/10 quality rating vs TECK's 7.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Martin Marietta Materials, Inc. (MLM) and Teck Resources Ltd (TECK) 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.

MLM currently trades at $581.64 with a QOC of 7.6/10, while TECK trades at $66.16 with a QOC of 7.3/10.

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).