Understanding the financial health and future prospects of companies listed on the NASDAQ, like Intuitive Machines, Inc. (LUNR), requires access to comprehensive and reliable data. This article outlines the sources and types of data crucial for in-depth company analysis, providing insights for investors and analysts.
Key Data Sources for NASDAQ Company Analysis
Robust company analysis relies on high-quality data from reputable providers. One primary source is S&P Global Market Intelligence, which offers a wide array of financial information. This data is meticulously normalized to ensure consistency and accuracy across reports.
| Data Package | Data | Timeframe | Example US Source * |
|---|---|---|---|
| Company Financials | Income statement, Cash flow statement, Balance sheet | 10 years | |
| Analyst Consensus Estimates | Forecast financials, Analyst price targets | +3 years | Analyst Research Reports |
| Market Prices | Stock prices, Dividends, Splits and Actions | 30 years | |
| Ownership | Top shareholders, Insider trading | 10 years | |
| Management | Leadership team, Board of directors | 10 years | |
| Key Developments | Company announcements | 10 years |
- Example for US securities, for non-US equivalent regulatory forms and sources are used.
Financial data is generally presented on a yearly basis but updated quarterly, using Trailing Twelve Month (TTM) or Last Twelve Month (LTM) data for the most current view.
Analysis Model and Industry Benchmarks
The analytical process uses sophisticated models to interpret this data. Details of these models are often publicly available, fostering transparency and allowing for deeper understanding. Furthermore, industry and sector metrics are essential for comparative analysis, providing benchmarks against which to evaluate a company’s performance within the broader market. These metrics are regularly updated to reflect current market conditions.
Analyst Insights
Analyst coverage is another valuable component of company analysis. For NASDAQ listed companies like Intuitive Machines, Inc. (LUNR), multiple analysts from various institutions provide estimates and ratings. These analyst submissions, updated frequently, offer diverse perspectives on a company’s potential.
| Analyst | Institution |
|---|---|
| Joshua Sullivan | Benchmark Company |
| Ronald Epstein | BofA Global Research |
| Michael Crawford | B. Riley Securities, Inc. |
Conclusion
Access to detailed financial data, coupled with robust analysis models and analyst insights, is crucial for anyone looking to compare and understand NASDAQ-listed companies like LUNR. By leveraging these resources, investors and analysts can make more informed decisions regarding stock performance and investment opportunities in the dynamic NASDAQ market.
