Is NBH or NBXG more undervalued in 2026?

CirclFi compares 36814 (NBH) and NBXG (NBXG) using 13 institutional-grade valuation models. NBH has a Quality of Company score of 1.7/10 while NBXG scores 1.7/10.

Which is a better buy — NBH or NBXG?

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 NBH and NBXG valuations compare?

NBH at $10.40 and NBXG at $16.56 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

NBH vs NBXG Valuation Comparison 2026 — Intrinsic Value Analysis

NBH

Asset Management

36814

Quality

1.7

out of 10

Value Trap

—

Price

$10.40

Last close

Models

8/13

Active

NBXG

Asset Management

NBXG

Quality

1.7

out of 10

Value Trap

—

Price

$16.56

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	NBH Fair Value	NBH Upside	NBXG Fair Value	NBXG Upside
Bayesian DCF	Intrinsic	$2.75	-73.5%	$4.38	-73.5%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
Markov DDM	Intrinsic	—	—	$12.68	-13.1%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$16.81	+62.3%	—	—
Regime Cross-Sectional	Relative	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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NBH vs NBXG — Which Stock Is More Undervalued?

Both NBH and NBXG score 1.7/10 on quality. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing 36814 (NBH) and NBXG (NBXG) 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.

NBH currently trades at $10.40 with a QOC of 1.7/10, while NBXG trades at $16.56 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).