RYN vs SACH

Rayonier Inc. REIT vs Sachem Capital Corp. — Valuation Comparison 2026

RYN

Real Estate Investment Trusts
Rayonier Inc. REIT
Quality
7.7
out of 10
Value Trap
6
SAFE
Price
$20.89
Last close
Models
13/13
Active
VS

SACH

Real Estate Investment Trusts
Sachem Capital Corp.
Quality
6.1
out of 10
Value Trap
18
SAFE
Price
$1.20
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType RYN Fair ValueRYN Upside SACH Fair ValueSACH Upside
Bayesian DCF Intrinsic $6.06 -71.0% $0.48 -60.1%
Earnings Power Value Intrinsic $8.38 -60.0% $0.76 -45.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 RYN vs SACH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RYN vs SACH — Which Stock Is More Undervalued?

RYN scores higher with a 7.7/10 quality rating vs SACH's 6.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Rayonier Inc. REIT (RYN) and Sachem Capital Corp. (SACH) 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.

RYN currently trades at $20.89 with a QOC of 7.7/10, while SACH trades at $1.20 with a QOC of 6.1/10.

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).