- Porsche has revised its full-year revenue forecast.
- The new expected revenue range is €39 billion to €40 billion.
- The old revenue expectation was €40 billion to €42 billion.
- Analysts estimated the revenue to be around €40.38 billion.
- Porsche’s new forecast for operating return on sales is 14% to 15%.
- Previously, the company expected an operating return on sales of 15% to 17%.
- Analysts placed their operating return on sales estimate at 15.8%.
- Several Porsche suppliers are facing a significant supply shortage of special aluminium alloys.
- This shortage is due to flooding at a major European aluminium production facility.
- The shortage affects aluminium body components used across all Porsche vehicle series.
- The supply issue will impact production and may cause shutdowns of one or more vehicle series.
- The production impairments are expected to last several weeks.
- Investor sentiment includes 16 buy ratings, 9 hold ratings, and 1 sell rating for Porsche.
Dr Ing hc F Porsche on Smartkarma
Independent analyst coverage on Dr Ing hc F Porsche is available on Smartkarma, with top analysts like Nicolai Tangen from ‘In Good Company’ publishing insightful research. In a recent report titled “Porsche and Volkswagen CEO: Leadership, iconic cars & Chinese competition“, Tangen highlights Porsche’s strong brand legacy in motorsport, emphasizing drivability, innovation, and top performance both on and off the racetrack. The report underlines the significance of the iconic Porsche 911, first launched in 1963, symbolizing the brand’s commitment to excellence.
A look at Dr Ing hc F Porsche Smart Scores
| Factor | Score | Magnitude |
|---|---|---|
| Value | 2 | |
| Dividend | 4 | |
| Growth | 3 | |
| Resilience | 4 | |
| Momentum | 2 | |
| OVERALL SMART SCORE | 3.0 |
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
Dr. Ing. h.c. F. Porsche Aktiengesellschaft, known for manufacturing luxurious sports cars and SUVs, has been given an overall positive outlook based on Smartkarma Smart Scores. With a strong Dividend score of 4 and Resilience score of 4, the company demonstrates its commitment to rewarding investors and its ability to withstand market challenges. However, its Value and Momentum scores of 2 each suggest areas for potential improvement. The Growth score of 3 indicates moderate expectations for future expansion. Despite some room for enhancement, Dr. Ing. h.c. F. Porsche’s solid performance in dividends and resilience bode well for its long-term prospects.
As a global provider of high-end motor vehicles and financial services, Dr. Ing. h.c. F. Porsche caters to a diverse customer base worldwide. The company’s mix of sports cars, SUVs, and other premium vehicles positions it as a key player in the luxury automotive market. Investors considering Dr. Ing. h.c. F. Porsche may find its strong Dividend and Resilience scores appealing, reflecting the company’s stability and commitment to rewarding shareholders. While there are areas for potential growth and value enhancement, the company’s solid foundation and established presence in the industry offer a promising outlook for long-term investors.
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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