Fairvalue-Calculator Fairvalue-Calculator

SBS Nexus Berhad (0386) Fair Value & Analysis

Communication Services · MY · Market cap 58.8M MYR

Price0.1250 MYR
Fair Value0.1400 MYR
Upside+12.0%
Quality84/100
Evidence: Medium Range 0.1000 MYR – 0.3400 MYR

Analysis

SBS Nexus Berhad (0386) currently trades at 0.1250 MYR, while our model-based Fair Value estimate is 0.1400 MYR — implying the stock looks roughly 12.0% undervalued today. We read business quality at 84/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

SBS Nexus Berhad provides branding and marketing solutions. It offers offline branding solutions, includes out-of-home media, public relations, event management, and offline publication services; and digital branding solutions, comprising digital broadcasts, video production, digital-out-of-home media, and online media. The company also organizes and hosts business awards, and recognition events, and networking events; and develops mobile and web-based applications, and website. SBS Nexus Berhad was founded in 2003 and is headquartered in Kuala Lumpur, Malaysia.

Open the full interactive analysis →

Similar stocks

AppLovin Corporation (APP) -43% Publicis Groupe S.A (PGPEF) +52% Omnicom Group (OMC) +97% Focus Media Information Technology Co (002027) -19% The Trade Desk, Inc (TT8) +5% BlueFocus Intelligent Communications Group (300058) -86%

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.