KBR vs ORN

KBR, Inc. vs Orion Group Holdings, Inc. — Valuation Comparison 2026

KBR

Heavy Construction Other Than Bldg Const - Contractors
KBR, Inc.
Quality
9.1
out of 10
Value Trap
17
SAFE
Price
$34.95
Last close
Models
12/13
Active
VS

ORN

Heavy Construction Other Than Bldg Const - Contractors
Orion Group Holdings, Inc.
Quality
7.5
out of 10
Value Trap
18
SAFE
Price
$13.76
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType KBR Fair ValueKBR Upside ORN Fair ValueORN Upside
Bayesian DCF Intrinsic $62.22 +78.0% $1.70 -87.9%
Earnings Power Value Intrinsic $24.14 -30.9% $0.18 -98.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 KBR vs ORN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

KBR vs ORN — Which Stock Is More Undervalued?

KBR scores higher with a 9.1/10 quality rating vs ORN's 7.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing KBR, Inc. (KBR) and Orion Group Holdings, Inc. (ORN) 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.

KBR currently trades at $34.95 with a QOC of 9.1/10, while ORN trades at $13.76 with a QOC of 7.5/10.

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).