Product Services

Financial Data

What is Financial Data

Financial data is derived from CPA audited financial reports, corporate disclosed in confrernce call, or monthly revenue data provided by listed companies in Taiwan. It reflects a company’s operational performance and strategic direction. This data includes the income statement (revenue, expenses, and profit), balance sheet (assets, liabilities, and equity), and cash flow statement (operating, investing, and financing activities). Additionally, it encompasses derived financial ratios and unique monthly revenue data specific to Taiwan.

Why You Need Financial Data

Clear Business Insights

Financial data reveals a company’s profitability, liquidity, and stability, helping investors and businesses assess growth potential and risk

Better Decision-Making

Data-driven analysis supports investment, strategy, and risk management, reducing uncertainty and improving efficiency

Risk Management

Utilize financial ratios, such as the debt ratio and quick ratio, to promptly assess a company’s ability to manage and buffer against potential risks

Product and Services

Connect with market leaders and explore Asian financial insights

Monthly Sales

Forward-looking Statement

Financial Statements

Related Articles

Discovering Investment Factors through Point-in-Time Audited Financial Database

This study employs TEJ’s Point-in-Time Audited Financial Database to construct a composite factor for stock selection in Taiwan’s equity market. By preserving financial data exactly as available at each historical moment, the framework avoids look-ahead bias and ensures empirical reliability. We find that higher-ranked portfolios deliver significant short-term excess returns, while predictive power weakens over longer horizons. The results highlight the practical value of Point-in-Time financial data for quantitative factor investing and underscore its role in building replicable, data-driven investment strategies. more

2025.10.07 Discovering Investment Factors through Point-in-Time Audited Financial Database This study employs TEJ’s Point-in-Time Audited Financial Database to construct a composite factor for stock selection in Taiwan’s equity market. By preserving financial data exactly as available at each historical moment, the framework avoids look-ahead bias and ensures empirical reliability. We find that higher-ranked portfolios deliver significant short-term excess returns, while predictive power weakens over longer horizons. The results highlight the practical value of Point-in-Time financial data for quantitative factor investing and underscore its role in building replicable, data-driven investment strategies. more

TEJ Point-in-Time Audited Financial Database – Rejecting “Peek-ahead” Backtesting

TEJ PIT Audited Financial Database eliminates look-ahead and survivorship bias with Point-in-Time data, full version retention, IFRS alignment, and 300+ ready-to-use ratios—delivering reliable backtesting and faster strategy development. more

2025.09.22 TEJ Point-in-Time Audited Financial Database – Rejecting “Peek-ahead” Backtesting TEJ PIT Audited Financial Database eliminates look-ahead and survivorship bias with Point-in-Time data, full version retention, IFRS alignment, and 300+ ready-to-use ratios—delivering reliable backtesting and faster strategy development. more

James O’Shaughnessy’s Cornerstone Value Strategy: Unearthing High-Quality Gold Mines in Large Cap Revenue Stocks

James P. O’Shaughnessy demonstrated in his book What Works on Wall Street that market returns do not fully conform to the Efficient Market Theory, showing that selecting stocks with low P/B, low P/CF, and low P/S ratios significantly enhances long-term returns. Among his methodologies, the “Cornerstone Value Strategy” targets high-revenue, cash-rich large-cap stocks. It screens equities across four dimensions—size, cash flow quality, revenue scale, and relative valuation—and uses dividend yield ranking for final selection. Applying this strategy to the Taiwan stock market (excluding financial sector) with six quantitative filters and an annual July rebalancing protocol validates its capacity to deliver sustained alpha by balancing deep value with high shareholder yield. more

2026.05.13 James O’Shaughnessy’s Cornerstone Value Strategy: Unearthing High-Quality Gold Mines in Large Cap Revenue Stocks James P. O’Shaughnessy demonstrated in his book What Works on Wall Street that market returns do not fully conform to the Efficient Market Theory, showing that selecting stocks with low P/B, low P/CF, and low P/S ratios significantly enhances long-term returns. Among his methodologies, the “Cornerstone Value Strategy” targets high-revenue, cash-rich large-cap stocks. It screens equities across four dimensions—size, cash flow quality, revenue scale, and relative valuation—and uses dividend yield ranking for final selection. Applying this strategy to the Taiwan stock market (excluding financial sector) with six quantitative filters and an annual July rebalancing protocol validates its capacity to deliver sustained alpha by balancing deep value with high shareholder yield. more