MDV vs MITN

Modiv Industrial, Inc. vs TPG Mortgage Investment Trust, — Valuation Comparison 2026

MDV

Real Estate Investment Trusts
Modiv Industrial, Inc.
Quality
6.4
out of 10
Value Trap
24
SAFE
Price
$18.16
Last close
Models
12/13
Active
VS

MITN

Real Estate Investment Trusts
TPG Mortgage Investment Trust,
Quality
7.5
out of 10
Value Trap
6
SAFE
Price
$25.23
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType MDV Fair ValueMDV Upside MITN Fair ValueMITN Upside
Bayesian DCF Intrinsic $11.32 -37.7% $7.12 -71.7%
Earnings Power Value Intrinsic $3.28 -87.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $13.23 -27.1% $2.77 -89.1%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 MDV vs MITN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MDV vs MITN — Which Stock Is More Undervalued?

MITN scores higher with a 7.5/10 quality rating vs MDV's 6.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Modiv Industrial, Inc. (MDV) and TPG Mortgage Investment Trust, (MITN) 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.

MDV currently trades at $18.16 with a QOC of 6.4/10, while MITN trades at $25.23 with a QOC of 7.5/10.

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).