RMCO vs RPC

Royalty Management Holding Corp vs Ridgepost Capital, Inc. — Valuation Comparison 2026

RMCO

Asset Management
Royalty Management Holding Corp
Quality
5.5
out of 10
Value Trap
12
SAFE
Price
$2.33
Last close
Models
11/13
Active
VS

RPC

Asset Management
Ridgepost Capital, Inc.
Quality
7.2
out of 10
Value Trap
17
SAFE
Price
$8.37
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType RMCO Fair ValueRMCO Upside RPC Fair ValueRPC Upside
Bayesian DCF Intrinsic $0.20 -91.6% $2.60 -68.6%
Earnings Power Value Intrinsic $0.14 -95.1%
EROIC Spread Intrinsic $0.92 -60.3% $0.98 -88.3%
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 RMCO vs RPC — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RMCO vs RPC — Which Stock Is More Undervalued?

RPC scores higher with a 7.2/10 quality rating vs RMCO's 5.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Royalty Management Holding Corp (RMCO) and Ridgepost Capital, Inc. (RPC) 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.

RMCO currently trades at $2.33 with a QOC of 5.5/10, while RPC trades at $8.37 with a QOC of 7.2/10.

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).