Is PDI or PDX more undervalued in 2026?

CirclFi compares PIMCO Dynamic Income Fund (PDI) and 170604 (PDX) using 13 institutional-grade valuation models. PDI has a Quality of Company score of 1.7/10 while PDX scores 1.7/10.

Which is a better buy — PDI or PDX?

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 PDI and PDX valuations compare?

PDI at $16.74 and PDX at $21.55 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

PDI vs PDX Valuation Comparison 2026 — Intrinsic Value Analysis

PDI

Asset Management

PIMCO Dynamic Income Fund

Quality

1.7

out of 10

Value Trap

—

Price

$16.74

Last close

Models

8/13

Active

PDX

Asset Management

170604

Quality

1.7

out of 10

Value Trap

—

Price

$21.55

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	PDI Fair Value	PDI Upside	PDX Fair Value	PDX Upside
Bayesian DCF	Intrinsic	$4.94	-70.5%	$5.70	-73.5%
Earnings Power Value	Intrinsic	$7.59	-56.5%	—	—
EROIC Spread	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
Markov DDM	Intrinsic	$25.38	+51.8%	$13.99	-35.1%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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PDI vs PDX — Which Stock Is More Undervalued?

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

Comparing PIMCO Dynamic Income Fund (PDI) and 170604 (PDX) 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.

PDI currently trades at $16.74 with a QOC of 1.7/10, while PDX trades at $21.55 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).