OLED vs VSH

Universal Display Corporation vs Vishay Intertechnology, Inc. — Valuation Comparison 2026

OLED

Electronic Components & Accessories
Universal Display Corporation
Quality
6.3
out of 10
Value Trap
12
SAFE
Price
$92.12
Last close
Models
13/13
Active
VS

VSH

Electronic Components & Accessories
Vishay Intertechnology, Inc.
Quality
6.6
out of 10
Value Trap
6
SAFE
Price
$52.05
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType OLED Fair ValueOLED Upside VSH Fair ValueVSH Upside
Bayesian DCF Intrinsic $28.62 -68.9% $8.98 -82.7%
Earnings Power Value Intrinsic $56.13 -39.1% $4.66 -91.1%
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 OLED vs VSH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

OLED vs VSH — Which Stock Is More Undervalued?

VSH scores higher with a 6.6/10 quality rating vs OLED's 6.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Universal Display Corporation (OLED) and Vishay Intertechnology, Inc. (VSH) 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.

OLED currently trades at $92.12 with a QOC of 6.3/10, while VSH trades at $52.05 with a QOC of 6.6/10.

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).