Is XSLL or ZKP more undervalued in 2026?

CirclFi compares Xsolla SPAC 1 (XSLL) and Lafayette Digital Acquisition C (ZKP) using 13 institutional-grade valuation models. XSLL has a Quality of Company score of 4.3/10 while ZKP scores 3.1/10.

Which is a better buy — XSLL or ZKP?

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 XSLL and ZKP valuations compare?

XSLL at $9.93 and ZKP at $9.93 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

XSLL vs ZKP Valuation Comparison 2026 — Intrinsic Value Analysis

XSLL

Blank Checks

Xsolla SPAC 1

Quality

4.3

out of 10

Value Trap

—

Price

$9.93

Last close

Models

7/13

Active

ZKP

Blank Checks

Lafayette Digital Acquisition C

Quality

3.1

out of 10

Value Trap

—

Price

$9.93

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	XSLL Fair Value	XSLL Upside	ZKP Fair Value	ZKP Upside
Bayesian DCF	Intrinsic	$2.64	-73.4%	$2.62	-73.6%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$3.76	-62.1%	—	—
PWERM	Option-Based	$9.27	-6.7%	$9.30	-6.4%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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XSLL vs ZKP — Which Stock Is More Undervalued?

XSLL scores higher with a 4.3/10 quality rating vs ZKP's 3.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Xsolla SPAC 1 (XSLL) and Lafayette Digital Acquisition C (ZKP) 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.

XSLL currently trades at $9.93 with a QOC of 4.3/10, while ZKP trades at $9.93 with a QOC of 3.1/10.

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).