BGR vs BGX

BlackRock Energy and Resources vs Blackstone GSO Long Short Credi — Valuation Comparison 2026

BGR

Asset Management
BlackRock Energy and Resources
Quality
1.9
out of 10
Value Trap
Price
$15.59
Last close
Models
13/13
Active
VS

BGX

Asset Management
Blackstone GSO Long Short Credi
Quality
1.8
out of 10
Value Trap
Price
$10.92
Last close
Models
6/13
Active

Model-by-Model Comparison

ModelType BGR Fair ValueBGR Upside BGX Fair ValueBGX Upside
Bayesian DCF Intrinsic $4.13 -73.5% $2.89 -73.5%
Earnings Power Value Intrinsic $6.46 -60.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $14.14 -9.3% $8.57 -21.6%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

BGR vs BGX — Which Stock Is More Undervalued?

BGR scores higher with a 1.9/10 quality rating vs BGX's 1.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing BlackRock Energy and Resources (BGR) and Blackstone GSO Long Short Credi (BGX) 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.

BGR currently trades at $15.59 with a QOC of 1.9/10, while BGX trades at $10.92 with a QOC of 1.8/10.

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).