Is SBXE or SDHI more undervalued in 2026?

CirclFi compares SilverBox Corp V (SBXE) and Siddhi Acquisition Corp (SDHI) using 13 institutional-grade valuation models. SBXE has a Quality of Company score of 4.1/10 while SDHI scores 4.0/10.

Which is a better buy — SBXE or SDHI?

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 SBXE and SDHI valuations compare?

SBXE at $9.96 and SDHI at $10.39 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

SBXE vs SDHI Valuation Comparison 2026 — Intrinsic Value Analysis

SBXE

Blank Checks

SilverBox Corp V

Quality

4.1

out of 10

Value Trap

—

Price

$9.96

Last close

Models

7/13

Active

SDHI

Blank Checks

Siddhi Acquisition Corp

Quality

4.0

out of 10

Value Trap

—

Price

$10.39

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	SBXE Fair Value	SBXE Upside	SDHI Fair Value	SDHI Upside
Bayesian DCF	Intrinsic	$2.67	-73.2%	$3.07	-70.4%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$3.43	-65.5%	$3.61	-65.1%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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SBXE vs SDHI — Which Stock Is More Undervalued?

SBXE scores higher with a 4.1/10 quality rating vs SDHI's 4.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing SilverBox Corp V (SBXE) and Siddhi Acquisition Corp (SDHI) 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.

SBXE currently trades at $9.96 with a QOC of 4.1/10, while SDHI trades at $10.39 with a QOC of 4.0/10.

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).