BAH vs CRAI

Booz Allen Hamilton Holding Cor vs CRA International,Inc. — Valuation Comparison 2026

BAH

Consulting Services
Booz Allen Hamilton Holding Cor
Quality
9.2
out of 10
Value Trap
18
SAFE
Price
$81.05
Last close
Models
11/13
Active
VS

CRAI

Consulting Services
CRA International,Inc.
Quality
8.6
out of 10
Value Trap
12
SAFE
Price
$148.35
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType BAH Fair ValueBAH Upside CRAI Fair ValueCRAI Upside
Bayesian DCF Intrinsic $122.62 +51.3% $41.57 -72.0%
Earnings Power Value Intrinsic $47.86 -40.9% $29.11 -80.4%
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 BAH vs CRAI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

BAH vs CRAI — Which Stock Is More Undervalued?

BAH scores higher with a 9.2/10 quality rating vs CRAI's 8.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Booz Allen Hamilton Holding Cor (BAH) and CRA International,Inc. (CRAI) 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.

BAH currently trades at $81.05 with a QOC of 9.2/10, while CRAI trades at $148.35 with a QOC of 8.6/10.

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).