BEAG vs BIII

Bold Eagle Acquisition Corp. vs Black Spade Acquisition III Co — Valuation Comparison 2026

BEAG

Blank Checks
Bold Eagle Acquisition Corp.
Quality
5.2
out of 10
Value Trap
Price
$10.70
Last close
Models
11/13
Active
VS

BIII

Blank Checks
Black Spade Acquisition III Co
Quality
4.1
out of 10
Value Trap
Price
$9.96
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType BEAG Fair ValueBEAG Upside BIII Fair ValueBIII Upside
Bayesian DCF Intrinsic $1.23 -88.3% $0.14 -98.5%
Earnings Power Value Intrinsic $1.60 -84.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $3.96 -62.4% $3.50 -64.8%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

BEAG vs BIII — Which Stock Is More Undervalued?

BEAG scores higher with a 5.2/10 quality rating vs BIII's 4.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Bold Eagle Acquisition Corp. (BEAG) and Black Spade Acquisition III Co (BIII) 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.

BEAG currently trades at $10.70 with a QOC of 5.2/10, while BIII trades at $9.96 with a QOC of 4.1/10.

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).