Is SRV or STK more undervalued in 2026?

CirclFi compares Cushing MLP & Infrastructure To (SRV) and Columbia Seligman Premium Techn (STK) using 13 institutional-grade valuation models. SRV has a Quality of Company score of 1.7/10 while STK scores 1.7/10.

Which is a better buy — SRV or STK?

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 SRV and STK valuations compare?

SRV at $48.40 and STK at $55.60 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

SRV vs STK Valuation Comparison 2026 — Intrinsic Value Analysis

SRV

Asset Management

Cushing MLP & Infrastructure To

Quality

1.7

out of 10

Value Trap

—

Price

$48.40

Last close

Models

6/13

Active

STK

Asset Management

Columbia Seligman Premium Techn

Quality

1.7

out of 10

Value Trap

—

Price

$55.60

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	SRV Fair Value	SRV Upside	STK Fair Value	STK Upside
Bayesian DCF	Intrinsic	$12.81	-73.5%	$14.72	-73.5%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
Markov DDM	Intrinsic	$47.20	-3.7%	$16.17	-68.3%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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SRV vs STK — Which Stock Is More Undervalued?

Both SRV and STK score 1.7/10 on quality. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Cushing MLP & Infrastructure To (SRV) and Columbia Seligman Premium Techn (STK) 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.

SRV currently trades at $48.40 with a QOC of 1.7/10, while STK trades at $55.60 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).