Earnings Alerts

Rio Tinto PLC (RIO) Earnings Report: 1Q Pilbara Iron Ore Shipments Miss Estimates Amidst Varied Production Outputs

  • Rio Tinto’s 1Q Pilbara iron ore shipments total 78.0 million tons, falling short of the estimated 79.1 million tons.
  • The company managed to produce 77.9 million tons of Pilbara iron ore.
  • Mined copper production ended up being slightly above the estimated 155,151 tons, at 155,800 tons.
  • Refined copper output stood at 62,500 tons.
  • Bauxite production was just under the predicted 13.43 million tons, finishing at 13.4 million tons.
  • Alumina production hit 1.86 million tons, missing the estimated 1.93 million tons.
  • Aluminium production reached 826,000 tons, almost hitting the estimated 826,793 tons.
  • In the IOC iron ore pellets and concentrate segment, 2.6 million tons were produced.
  • Among the analysts, 14 recommend buying Rio Tinto stocks, while 9 suggest holding the shares and none recommend selling.

Rio Tinto PLC on Smartkarma

Analyst coverage of Rio Tinto PLC on Smartkarma by Jesus Rodriguez Aguilar showcases a mix of sentiments in the reports published. In the report titled “Selected European HoldCos and DLC: January’24 Report,” Rodriguez Aguilar highlights tightening discounts to NAV for covered holdcos in January. Specific focus is drawn to intriguing trades involving GBL, Porsche SE, and the Rio spread with details on discounts to NAV for various holdcos. The report also notes a widened spread for the Rio DLC, indicating a bearish lean on the analysis.

Contrastingly, in the report “Selected European HoldCos and DLC: October’23 Report,” Rodriguez Aguilar presents a bullish sentiment regarding Rio Tinto PLC. The report mentions the absence of a clear trend in discounts to NAV for covered holdcos in October. Noteworthy aspects include holding trades and comparisons like Investor B and Porsche SE against listed assets, as well as insights on the Rio DLC with a widened spread. This report diverges in sentiment compared to the January report, suggesting a more positive outlook on Rio Tinto PLC during the specified period.


A look at Rio Tinto PLC Smart Scores

FactorScoreMagnitude
Value3
Dividend5
Growth3
Resilience3
Momentum3
OVERALL SMART SCORE3.4

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

Based on the Smartkarma Smart Scores for Rio Tinto PLC, the company shows a promising long-term outlook. With a top score of 5 for Dividend, investors can expect strong returns in the form of dividends. Additionally, Rio Tinto PLC scores well in Resilience, Value, Growth, and Momentum, each coming in at a solid 3. This indicates a company that is well-rounded in its financial health, growth potential, and market performance.

Rio Tinto PLC, an international mining giant, has diversified interests in various commodities including aluminum, gold, iron ore, and uranium. This diversification helps to spread risk and potentially secure steady revenue streams. As a dually-listed company with RIO AU, Rio Tinto PLC presents a robust investment opportunity for those seeking a balance of dividends, growth, and resilience in the volatile market environment.


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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