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CNH Industrial N.V. (0QGU.IL)

IOB - IOB Prezzo differito. Valuta in EUR.
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16,21+0,16 (+0,98%)
Al 12:45PM GMT. Mercato aperto.
Schermo intero
Chiusura precedente16,05
Denaro15,34 x 0
Lettera16,95 x 0
Min-Max giorno15,98 - 16,22
Intervallo di 52 settimane10,58 - 16,33
Media Volume760.952
Beta (5 anni mensile)1,70
Rapporto PE (ttm)13,07
EPS (ttm)1,24
Prossima data utiliN/D
Rendimento e dividendo (forward)0,28 (1,74%)
Data ex dividendo19 apr 2022
Stima target 1AN/D
  • GlobeNewswire

    CNH Industrial announces 2023 Corporate Calendar

    London, January 31, 2023 CNH Industrial N.V. (NYSE: CNHI / MI: CNHI) announces its 2023 corporate calendar: DateEarning ReleasesFebruary 2, 2023Results for the Fourth Quarter and Full Year 2022May 5, 2023Results for the First Quarter 2023July 28, 2023Results for the Second Quarter 2023 and First Half 2023November 7, 2023Results for the Third Quarter 2023 A conference call for financial analysts is also planned on the date of each earnings release. Listen-only live webcasts of the presentations a

  • GlobeNewswire

    CNH Industrial to announce 2022 Fourth Quarter and Full Year financial results on February 2, 2023

    London, January 19, 2023 CNH Industrial (NYSE: CNHI / MI: CNHI) announced today that its financial results for the Fourth Quarter and Full Year of 2022 will be released on Thursday, February 2, 2023. A live audio webcast of the financial results conference call will begin at 3:30 p.m. CET / 2:30 p.m. GMT / 9:30 a.m. EST on Thursday, February 2, 2023. It will be accessible at the following address: For those unable to participate in the live session, a replay will

  • GlobeNewswire

    CNH Industrial takes minority stake in EarthOptics

    Soil sensing tech helps farmers get more from their land and give back to it London, January 18, 2023 CNH Industrial announces a minority investment in the US-based ag tech company EarthOptics through its Ventures arm. EarthOptics’ proprietary sensor technology precisely measures the health and structure of soil through a combination of ground-based sensors, satellites, physical soil samples, machine learning models and agronomic expertise. By providing such a wide range of soil data, this techn