Is IRAB or JATT more undervalued in 2026?

CirclFi compares Iris Acquisition Corp II (IRAB) and JATT II Acquisition Corp (JATT) using 13 institutional-grade valuation models. IRAB has a Quality of Company score of 3.3/10 while JATT scores 1.7/10.

Which is a better buy — IRAB or JATT?

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 IRAB and JATT valuations compare?

IRAB at $9.93 and JATT at $10.51 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

IRAB vs JATT Valuation Comparison 2026 — Intrinsic Value Analysis

IRAB

Blank Checks

Iris Acquisition Corp II

Quality

3.3

out of 10

Value Trap

—

Price

$9.93

Last close

Models

6/13

Active

JATT

Blank Checks

JATT II Acquisition Corp

Quality

1.7

out of 10

Value Trap

—

Price

$10.51

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	IRAB Fair Value	IRAB Upside	JATT Fair Value	JATT Upside
Bayesian DCF	Intrinsic	$2.63	-73.5%	$2.91	-72.3%
First Chicago	Scenario	$11.41	+15.8%	$12.67	+15.3%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$9.27	-6.7%	—	—
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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IRAB vs JATT — Which Stock Is More Undervalued?

IRAB scores higher with a 3.3/10 quality rating vs JATT's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Iris Acquisition Corp II (IRAB) and JATT II Acquisition Corp (JATT) 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.

IRAB currently trades at $9.93 with a QOC of 3.3/10, while JATT trades at $10.51 with a QOC of 1.7/10.

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).