NUAI vs PBR

New Era Energy & Digital, Inc. vs Petroleo Brasileiro S.A. Petrob — Valuation Comparison 2026

NUAI

Crude Petroleum & Natural Gas
New Era Energy & Digital, Inc.
Quality
4.6
out of 10
Value Trap
12
SAFE
Price
$4.77
Last close
Models
8/13
Active
VS

PBR

Crude Petroleum & Natural Gas
Petroleo Brasileiro S.A. Petrob
Quality
1.7
out of 10
Value Trap
Price
$18.77
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType NUAI Fair ValueNUAI Upside PBR Fair ValuePBR Upside
Bayesian DCF Intrinsic $1.05 -77.9% $6.73 -64.1%
Earnings Power Value Intrinsic $6.67 -68.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.09 -97.8% $6.49 -65.4%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for NUAI vs PBR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NUAI vs PBR — Which Stock Is More Undervalued?

NUAI scores higher with a 4.6/10 quality rating vs PBR's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing New Era Energy & Digital, Inc. (NUAI) and Petroleo Brasileiro S.A. Petrob (PBR) 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.

NUAI currently trades at $4.77 with a QOC of 4.6/10, while PBR trades at $18.77 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).