Is TMTS or TRGS more undervalued in 2026?

CirclFi compares Spartacus Acquisition Corp. II (TMTS) and TRG Latin America Acquisitions (TRGS) using 13 institutional-grade valuation models. TMTS has a Quality of Company score of 3.0/10 while TRGS scores 1.7/10.

Which is a better buy — TMTS or TRGS?

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 TMTS and TRGS valuations compare?

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

TMTS vs TRGS Valuation Comparison 2026 — Intrinsic Value Analysis

TMTS

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Spartacus Acquisition Corp. II

Quality

3.0

out of 10

Value Trap

—

Price

$10.00

Last close

Models

6/13

Active

TRGS

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TRG Latin America Acquisitions

Quality

1.7

out of 10

Value Trap

—

Price

$9.87

Last close

Models

5/13

Active

Model-by-Model Comparison

Model	Type	TMTS Fair Value	TMTS Upside	TRGS Fair Value	TRGS Upside
Bayesian DCF	Intrinsic	$2.66	-73.4%	$2.62	-73.5%
First Chicago	Scenario	$11.58	+15.5%	$11.40	+15.3%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
PWERM	Option-Based	$9.42	-5.8%	—	—
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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TMTS vs TRGS — Which Stock Is More Undervalued?

TMTS scores higher with a 3.0/10 quality rating vs TRGS's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Spartacus Acquisition Corp. II (TMTS) and TRG Latin America Acquisitions (TRGS) 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.

TMTS currently trades at $10.00 with a QOC of 3.0/10, while TRGS trades at $9.87 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).