- Macrotech’s 4Q net income amounted to 6.66 billion rupees, which outperformed estimates and stands at -10% compared to previous year’s value.
- The company’s revenue increased by +23% year over year (y/y) to 40.2 billion rupees, surpassing expectations of 38.24 billion rupees.
- Total costs escalated by +22% y/y to 32 billion rupees.
- Other sources of income saw a significant increase, from 163 million rupees y/y to 654 million rupees.
- The quarter’s adjusted EBITDA stood at 13.4 billion rupees.
- Pre-sales for the period reached 42.3 billion rupees.
- The dividend per share has been declared at 2.25 rupees.
- In another positive development, the net debt has been further lessened to 30.1 billion rupees.
- Market opinion about the company’s performance sees 10 buys, 4 holds, and 3 sells.
- Comparative analysis points towards considerable growth as current outcomes are juxtaposed against values from the company’s original disclosures.
Macrotech Developers on Smartkarma
Analyst coverage of Macrotech Developers on Smartkarma has provided insights into the company’s recent move to raise approximately US$398 million through a QIP. Clarence Chu‘s research report, “Macrotech Developers Placement – Large Deal, and Not Cheap Per Se,” indicates a bearish sentiment towards this development. The report highlights that while the fundraising was anticipated following LODHA’s earlier announcement, the size of the deal equates to 30 days of its three-month average daily volume, posing significant challenges for absorption.
Chu’s analysis underscores the implications of the substantial QIP on Macrotech Developers (LODHA IN) and its shareholders. The report suggests caution surrounding the deal, emphasizing its scale in relation to the company’s shares outstanding. Through independent research on Smartkarma, investors gain valuable insights into the strategic decisions and financial performances of companies like Macrotech Developers, helping them make informed investment choices.
A look at Macrotech Developers Smart Scores
| Factor | Score | Magnitude |
|---|---|---|
| Value | 2 | |
| Dividend | 2 | |
| Growth | 5 | |
| Resilience | 3 | |
| Momentum | 4 | |
| OVERALL SMART SCORE | 3.2 |
Smart Score is a compound score for the Company indicating its overall outlook. It is derived by taking an equally weighted average of underlying Factor scores computed by Smartkarma
Macrotech Developers, a real estate company with a global customer base, is positioned for long-term growth based on a comprehensive analysis of its key performance factors. With top-notch scores of 5 in Growth and 4 in Momentum, the company shows strong potential to expand its operations and increase market share over time. This indicates a positive outlook for the company’s future prospects in terms of business development and performance.
While scoring lower in Value and Dividend at 2, and Resilience at 3, Macrotech Developers still demonstrates overall strength in its growth and momentum strategies. Despite some challenges in valuation and dividends, the company’s focus on growth and resilience suggests a proactive approach to adapting to market conditions and sustaining its operations in the long run. Investors may find the company’s growth-oriented strategy appealing for potential returns in the future.
Disclaimer: This article by Smartkarma is general in nature and based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. Note that our articles may not factor in the latest price-sensitive company announcements or qualitative material.
While all reasonable care has been taken in the preparation, Smartkarma makes no assurance about the accuracy of any generated data or content. All content is indicative only and should be independently checked for accuracy and confirmed before use. Smartkarma accepts no responsibility for any loss or damage caused as a result of any inaccuracy or error within the Lab online tools or generated data.
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