Fiat Chrysler Automobiles

The Statista dossier
  • Detailed references
  • Editorially prepared
  • Download as PDF / PPT

Statista Dossier about Fiat Chrysler Automobiles

This dossier presents graphs and tables about Fiat Chrysler Automobiles. The dossier includes key figures for the automotive manufacturer, as well as information about the company's closest competitors.

Table of contents

  • 1. FCA in figures
    • Fiat Chrysler Automobiles - net revenue 2011-2017

    • Fiat Chrysler Automobiles - R&D expenditures 2014-2017

    • Fiat Chrysler Automobiles - worldwide number of employees 2011-2017

    • Fiat Chrysler Automobiles - vehicle shipments 2012-2017

    • FCA US vehicle shipments 2014-2017

  • 2. Status quo
    • Fiat Chrysler Automobiles - key figures 2017

    • Fiat Chrysler Automobiles - regional distribution of revenue 2017

    • Fiat Chrysler Automobiles - employee distribution by region 2017

  • 3. How FCA compares
    • Revenue of the leading car manufacturers worldwide 2016

    • Leading motor vehicle manufacturers worldwide - production 2016

    • Most valuable Italian brands in 2018

  • 4. Major competitors
    • General Motors - revenue 2013-2017

    • Ford - total revenue 2008-2017

    • Volkswagen AG - sales revenue 2006-2017

  • Language: English
  • Released: 2018
  • Source(s): Statista
More than 7,500
Recommended studies and dossiers
Show more
Recent studies and dossiers
You may also be interested in...
Statista is a great source of knowledge, and pretty helpful to manage the daily work.

Christof Baron about Statista CEO, MindShare Germany

Any more questions?

Get in touch with us quickly and easily. We are happy to help!

We use cookies to personalize contents and ads, offer social media features, and analyze access to our website. In your browser settings you can configure or disable this, respectively, and can delete any already placed cookies. For details, please see your browser’s Help section (by pressing F1). Please see our privacy statement for details about how we use data.