Is VGZ or XPL more undervalued in 2026?

CirclFi compares Vista Gold Corp (VGZ) and Solitario Resources Corp. (XPL) using 13 institutional-grade valuation models. VGZ has a Quality of Company score of 5.0/10 while XPL scores 4.4/10.

Which is a better buy — VGZ or XPL?

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 VGZ and XPL valuations compare?

VGZ at $2.41 and XPL at $0.84 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

VGZ vs XPL Valuation Comparison 2026 — Intrinsic Value Analysis

VGZ

Gold and Silver Ores

Vista Gold Corp

Quality

5.0

out of 10

Value Trap

SAFE

Price

$2.41

Last close

Models

7/13

Active

XPL

Gold and Silver Ores

Solitario Resources Corp.

Quality

4.4

out of 10

Value Trap

SAFE

Price

$0.84

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	VGZ Fair Value	VGZ Upside	XPL Fair Value	XPL Upside
Bayesian DCF	Intrinsic	$0.77	-67.9%	$0.23	-72.8%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$0.11	-95.4%	$0.04	-95.3%
Dynamic NAV	Asset-Based	$0.54	-77.8%	$0.14	-83.6%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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VGZ vs XPL — Which Stock Is More Undervalued?

VGZ scores higher with a 5.0/10 quality rating vs XPL's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Vista Gold Corp (VGZ) and Solitario Resources Corp. (XPL) 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.

VGZ currently trades at $2.41 with a QOC of 5.0/10, while XPL trades at $0.84 with a QOC of 4.4/10.

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).