DNP vs DTF

DNP Select Income Fund, Inc. vs DTF Tax-Free Income, Inc. — Valuation Comparison 2026

DNP

Asset Management
DNP Select Income Fund, Inc.
Quality
1.7
out of 10
Value Trap
Price
$10.75
Last close
Models
11/13
Active
VS

DTF

Asset Management
DTF Tax-Free Income, Inc.
Quality
1.9
out of 10
Value Trap
Price
$11.49
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType DNP Fair ValueDNP Upside DTF Fair ValueDTF Upside
Bayesian DCF Intrinsic $3.17 -70.5% $3.04 -73.5%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $12.92 +20.1% $3.41 -70.3%
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 DNP vs DTF — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

DNP vs DTF — Which Stock Is More Undervalued?

DTF scores higher with a 1.9/10 quality rating vs DNP's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing DNP Select Income Fund, Inc. (DNP) and DTF Tax-Free Income, Inc. (DTF) 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.

DNP currently trades at $10.75 with a QOC of 1.7/10, while DTF trades at $11.49 with a QOC of 1.9/10.

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).