Is OIM or PAAC more undervalued in 2026?

CirclFi compares OneIM Acquisition Corp. (OIM) and Proem Acquisition Corp I (PAAC) using 13 institutional-grade valuation models. OIM has a Quality of Company score of 4.0/10 while PAAC scores 3.1/10.

Which is a better buy — OIM or PAAC?

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 OIM and PAAC valuations compare?

OIM at $10.00 and PAAC at $9.87 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

OIM vs PAAC Valuation Comparison 2026 — Intrinsic Value Analysis

OIM

Blank Checks

OneIM Acquisition Corp.

Quality

4.0

out of 10

Value Trap

—

Price

$10.00

Last close

Models

7/13

Active

PAAC

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Proem Acquisition Corp I

Quality

3.1

out of 10

Value Trap

—

Price

$9.87

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	OIM Fair Value	OIM Upside	PAAC Fair Value	PAAC Upside
Bayesian DCF	Intrinsic	$2.66	-73.4%	$2.62	-73.4%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$3.59	-64.1%	—	—
PWERM	Option-Based	$9.83	-1.7%	$9.31	-5.6%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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OIM vs PAAC — Which Stock Is More Undervalued?

OIM scores higher with a 4.0/10 quality rating vs PAAC's 3.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing OneIM Acquisition Corp. (OIM) and Proem Acquisition Corp I (PAAC) 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.

OIM currently trades at $10.00 with a QOC of 4.0/10, while PAAC trades at $9.87 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).