SAR vs SCM

Saratoga Investment Corp New vs Stellus Capital Investment Corp — Valuation Comparison 2026

SAR

Asset Management
Saratoga Investment Corp New
Quality
5.8
out of 10
Value Trap
30
LOW
Price
$22.46
Last close
Models
10/13
Active
VS

SCM

Asset Management
Stellus Capital Investment Corp
Quality
7.3
out of 10
Value Trap
18
SAFE
Price
$9.19
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SAR Fair ValueSAR Upside SCM Fair ValueSCM Upside
Bayesian DCF Intrinsic $4.81 -78.4% $1.15 -87.5%
Earnings Power Value Intrinsic $0.18 -98.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $60.38 +168.8% $23.37 +154.3%
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 SAR vs SCM — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SAR vs SCM — Which Stock Is More Undervalued?

SCM scores higher with a 7.3/10 quality rating vs SAR's 5.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Saratoga Investment Corp New (SAR) and Stellus Capital Investment Corp (SCM) 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.

SAR currently trades at $22.46 with a QOC of 5.8/10, while SCM trades at $9.19 with a QOC of 7.3/10.

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).