Is NVA or ODVWZ more undervalued in 2026?

CirclFi compares Nova Minerals Limited (NVA) and Osisko Development Corp. Warran (ODVWZ) using 13 institutional-grade valuation models. NVA has a Quality of Company score of 5.6/10 while ODVWZ scores 5.1/10.

Which is a better buy — NVA or ODVWZ?

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 NVA and ODVWZ valuations compare?

NVA at $6.75 and ODVWZ at $0.10 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

NVA vs ODVWZ Valuation Comparison 2026 — Intrinsic Value Analysis

NVA

Gold and Silver Ores

Nova Minerals Limited

Quality

5.6

out of 10

Value Trap

SAFE

Price

$6.75

Last close

Models

6/13

Active

ODVWZ

Gold and Silver Ores

Osisko Development Corp. Warran

Quality

5.1

out of 10

Value Trap

SAFE

Price

$0.10

Last close

Models

0/13

Active

Model-by-Model Comparison

Model	Type	NVA Fair Value	NVA Upside	ODVWZ Fair Value	ODVWZ Upside
Bayesian DCF	Intrinsic	$1.43	-78.8%	—	—
Earnings Power Value	Intrinsic	$0.31	-94.7%	—	—
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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NVA vs ODVWZ — Which Stock Is More Undervalued?

NVA scores higher with a 5.6/10 quality rating vs ODVWZ's 5.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Nova Minerals Limited (NVA) and Osisko Development Corp. Warran (ODVWZ) 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.

NVA currently trades at $6.75 with a QOC of 5.6/10, while ODVWZ trades at $0.10 with a QOC of 5.1/10.

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).