RVSN vs WAB

Rail Vision Ltd. vs Westinghouse Air Brake Technolo — Valuation Comparison 2026

RVSN

Railroad Equipment
Rail Vision Ltd.
Quality
2.1
out of 10
Value Trap
Price
$4.89
Last close
Models
11/13
Active
VS

WAB

Railroad Equipment
Westinghouse Air Brake Technolo
Quality
9.0
out of 10
Value Trap
12
SAFE
Price
$261.16
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType RVSN Fair ValueRVSN Upside WAB Fair ValueWAB Upside
Bayesian DCF Intrinsic $1.28 -73.8% $118.67 -54.6%
Earnings Power Value Intrinsic $0.50 -93.3% $48.79 -81.3%
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 RVSN vs WAB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RVSN vs WAB — Which Stock Is More Undervalued?

WAB scores higher with a 9.0/10 quality rating vs RVSN's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Rail Vision Ltd. (RVSN) and Westinghouse Air Brake Technolo (WAB) 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.

RVSN currently trades at $4.89 with a QOC of 2.1/10, while WAB trades at $261.16 with a QOC of 9.0/10.

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).