PHK vs PML

Pimco High Income Fund Pimco Hi vs Pimco Municipal Income Fund II — Valuation Comparison 2026

PHK

Asset Management
Pimco High Income Fund Pimco Hi
Quality
1.7
out of 10
Value Trap
Price
$4.57
Last close
Models
11/13
Active
VS

PML

Asset Management
Pimco Municipal Income Fund II
Quality
1.8
out of 10
Value Trap
Price
$7.48
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType PHK Fair ValuePHK Upside PML Fair ValuePML Upside
Bayesian DCF Intrinsic $1.21 -73.5% $1.98 -73.5%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $5.11 +8.7% $5.45 -27.1%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for PHK vs PML — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PHK vs PML — Which Stock Is More Undervalued?

PML scores higher with a 1.8/10 quality rating vs PHK's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Pimco High Income Fund Pimco Hi (PHK) and Pimco Municipal Income Fund II (PML) 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.

PHK currently trades at $4.57 with a QOC of 1.7/10, while PML trades at $7.48 with a QOC of 1.8/10.

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).