ICFI vs RGP

ICF International, Inc. vs Resources Connection, Inc. — Valuation Comparison 2026

ICFI

Consulting Services
ICF International, Inc.
Quality
8.5
out of 10
Value Trap
23
SAFE
Price
$69.26
Last close
Models
12/13
Active
VS

RGP

Consulting Services
Resources Connection, Inc.
Quality
6.0
out of 10
Value Trap
28
LOW
Price
$4.34
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType ICFI Fair ValueICFI Upside RGP Fair ValueRGP Upside
Bayesian DCF Intrinsic $82.69 +19.4% $5.46 +25.9%
Earnings Power Value Intrinsic $42.55 -38.6% $15.17 +249.6%
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 ICFI vs RGP — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ICFI vs RGP — Which Stock Is More Undervalued?

ICFI scores higher with a 8.5/10 quality rating vs RGP's 6.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing ICF International, Inc. (ICFI) and Resources Connection, Inc. (RGP) 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.

ICFI currently trades at $69.26 with a QOC of 8.5/10, while RGP trades at $4.34 with a QOC of 6.0/10.

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).