CHRW vs FRGT

C.H. Robinson Worldwide, Inc. vs Freight Technologies, Inc. — Valuation Comparison 2026

CHRW

Arrangement of Transportation of Freight & Cargo
C.H. Robinson Worldwide, Inc.
Quality
8.1
out of 10
Value Trap
12
SAFE
Price
$178.65
Last close
Models
12/13
Active
VS

FRGT

Arrangement of Transportation of Freight & Cargo
Freight Technologies, Inc.
Quality
1.6
out of 10
Value Trap
Price
$4.36
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType CHRW Fair ValueCHRW Upside FRGT Fair ValueFRGT Upside
Bayesian DCF Intrinsic $80.11 -55.2% $1.10 -74.7%
Earnings Power Value Intrinsic $38.43 -78.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $186.40 +4.3% $16.20 +272.0%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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CHRW vs FRGT — Which Stock Is More Undervalued?

CHRW scores higher with a 8.1/10 quality rating vs FRGT's 1.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing C.H. Robinson Worldwide, Inc. (CHRW) and Freight Technologies, Inc. (FRGT) 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.

CHRW currently trades at $178.65 with a QOC of 8.1/10, while FRGT trades at $4.36 with a QOC of 1.6/10.

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).