MITT vs MKZR

TPG Mortgage Investment Trust, vs MacKenzie Realty Capital, Inc. — Valuation Comparison 2026

MITT

Real Estate Investment Trusts
TPG Mortgage Investment Trust,
Quality
8.0
out of 10
Value Trap
6
SAFE
Price
$7.72
Last close
Models
10/13
Active
VS

MKZR

Real Estate Investment Trusts
MacKenzie Realty Capital, Inc.
Quality
5.6
out of 10
Value Trap
24
SAFE
Price
$2.36
Last close
Models
5/13
Active

Model-by-Model Comparison

ModelType MITT Fair ValueMITT Upside MKZR Fair ValueMKZR Upside
Bayesian DCF Intrinsic $0.17 -97.8% $1.46 -39.5%
Earnings Power Value Intrinsic $3.28 -58.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $6.70 +184.0%
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 MITT vs MKZR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MITT vs MKZR — Which Stock Is More Undervalued?

MITT scores higher with a 8.0/10 quality rating vs MKZR's 5.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing TPG Mortgage Investment Trust, (MITT) and MacKenzie Realty Capital, Inc. (MKZR) 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.

MITT currently trades at $7.72 with a QOC of 8.0/10, while MKZR trades at $2.36 with a QOC of 5.6/10.

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).