-
1 Comment
VICOM Ltd is currently in a long term downtrend where the price is trading 57.0% below its 200 day moving average.
From a valuation standpoint, the stock is 219.3% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 7.8.
Based on the above factors, VICOM Ltd gets an overall score of 0/5.
| Exchange | SG |
|---|---|
| CurrencyCode | SGD |
| ISIN | SG1C06012761 |
| Sector | Consumer Cyclical |
| Industry | Auto & Truck Dealerships |
| Dividend Yield | 4.2% |
|---|---|
| Beta | 0.37 |
| PE Ratio | 29.71 |
| Target Price | None |
| Market Cap | 201M |
VICOM Ltd provides technical testing and inspection services in Singapore. The company offers vehicle inspection services, including inspection for petrol-driven and diesel-driven vehicles, motorcycles, and power assisted bicycles; vehicle assessment services; and emission test laboratory services. It also provides vehicle evaluation, vehicle inspection and type approval system, in-vehicle unit, speed limiter check, chassis dynamometer smoke test, road tax renewal, motor and general insurance, car buying tips and maintenance talks, and consultancy services. The company offers testing, calibration, inspection, consultancy, and training services to aerospace, marine and offshore, biotechnology, oil and petrochemical, building construction, and electronics manufacturing industries. The company was incorporated in 1981 and is based in Singapore. VICOM Ltd is a subsidiary of ComfortDelGro Corporation Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for V01.SG using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025
