Is DC or GMTL more undervalued in 2026?

CirclFi compares Dakota Gold Corp. (DC) and Guardian Metal Resources PLC (GMTL) using 13 institutional-grade valuation models. DC has a Quality of Company score of 5.2/10 while GMTL scores 1.7/10.

Which is a better buy — DC or GMTL?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do DC and GMTL valuations compare?

DC at $5.76 and GMTL at $15.80 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

DC vs GMTL Valuation Comparison 2026 — Intrinsic Value Analysis

DC

Metal Mining

Dakota Gold Corp.

Quality

5.2

out of 10

Value Trap

SAFE

Price

$5.76

Last close

Models

7/13

Active

GMTL

Metal Mining

Guardian Metal Resources PLC

Quality

1.7

out of 10

Value Trap

—

Price

$15.80

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	DC Fair Value	DC Upside	GMTL Fair Value	GMTL Upside
Bayesian DCF	Intrinsic	$1.85	-67.9%	$4.49	-71.6%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$1.17	-79.7%	$41.81	+146.0%
PWERM	Option-Based	$5.07	-12.0%	$71.12	+350.1%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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DC vs GMTL — Which Stock Is More Undervalued?

DC scores higher with a 5.2/10 quality rating vs GMTL's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Dakota Gold Corp. (DC) and Guardian Metal Resources PLC (GMTL) 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.

DC currently trades at $5.76 with a QOC of 5.2/10, while GMTL trades at $15.80 with a QOC of 1.7/10.

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).