FLR vs GVA

Fluor Corporation vs Granite Construction Incorporat — Valuation Comparison 2026

FLR

Heavy Construction Other Than Bldg Const - Contractors
Fluor Corporation
Quality
7.1
out of 10
Value Trap
Price
$45.76
Last close
Models
13/13
Active
VS

GVA

Heavy Construction Other Than Bldg Const - Contractors
Granite Construction Incorporat
Quality
9.5
out of 10
Value Trap
15
SAFE
Price
$136.84
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType FLR Fair ValueFLR Upside GVA Fair ValueGVA Upside
Bayesian DCF Intrinsic $18.95 -58.6% $10.34 -92.0%
Earnings Power Value Intrinsic $110.38 +108.3% $25.45 -81.4%
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 $•••.•• ••.•% $•••.•• ••.•%
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FLR vs GVA — Which Stock Is More Undervalued?

GVA scores higher with a 9.5/10 quality rating vs FLR's 7.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Fluor Corporation (FLR) and Granite Construction Incorporat (GVA) 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.

FLR currently trades at $45.76 with a QOC of 7.1/10, while GVA trades at $136.84 with a QOC of 9.5/10.

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).