EVAC vs FGII

EQV Ventures Acquisition Corp. vs FG Imperii Acquisition Corp. — Valuation Comparison 2026

EVAC

Blank Checks
EQV Ventures Acquisition Corp.
Quality
4.8
out of 10
Value Trap
Price
$10.18
Last close
Models
11/13
Active
VS

FGII

Blank Checks
FG Imperii Acquisition Corp.
Quality
4.3
out of 10
Value Trap
Price
$9.93
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType EVAC Fair ValueEVAC Upside FGII Fair ValueFGII Upside
Bayesian DCF Intrinsic $0.80 -92.1% $2.64 -73.4%
Earnings Power Value Intrinsic $0.52 -94.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $3.75 -63.1% $3.99 -59.8%
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 EVAC vs FGII — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

EVAC vs FGII — Which Stock Is More Undervalued?

EVAC scores higher with a 4.8/10 quality rating vs FGII's 4.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing EQV Ventures Acquisition Corp. (EVAC) and FG Imperii Acquisition Corp. (FGII) 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.

EVAC currently trades at $10.18 with a QOC of 4.8/10, while FGII trades at $9.93 with a QOC of 4.3/10.

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).