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Faraday Future Intelligent Electric (STU:5VFC) Retained Earnings : €-3,630.60 Mil (As of Sep. 2023)


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What is Faraday Future Intelligent Electric Retained Earnings?

Retained earnings is the accumulated portion of net income that is not distributed to shareholders. Faraday Future Intelligent Electric's retained earnings for the quarter that ended in Sep. 2023 was €-3,630.60 Mil.

Faraday Future Intelligent Electric's quarterly retained earnings declined from Mar. 2023 (€-3,241.07 Mil) to Jun. 2023 (€-3,504.31 Mil) and declined from Jun. 2023 (€-3,504.31 Mil) to Sep. 2023 (€-3,630.60 Mil).

Faraday Future Intelligent Electric's annual retained earnings declined from Dec. 2020 (€-1,965.52 Mil) to Dec. 2021 (€-2,573.27 Mil) and declined from Dec. 2021 (€-2,573.27 Mil) to Dec. 2022 (€-3,329.26 Mil).


Faraday Future Intelligent Electric Retained Earnings Historical Data

The historical data trend for Faraday Future Intelligent Electric's Retained Earnings can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Faraday Future Intelligent Electric Retained Earnings Chart

Faraday Future Intelligent Electric Annual Data
Trend Dec20 Dec21 Dec22
Retained Earnings
-1,965.52 -2,573.27 -3,329.26

Faraday Future Intelligent Electric Quarterly Data
Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
Retained Earnings Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -3,355.91 -3,329.26 -3,241.07 -3,504.31 -3,630.60

Faraday Future Intelligent Electric Retained Earnings Calculation

Retained Earnings is the accumulated portion of net income that is not distributed to shareholders. Because the net income was not distributed to shareholders, shareholders' equity is increased by the same amount.

Of course, if a company loses, it is called retained losses, or accumulated losses.


Faraday Future Intelligent Electric  (STU:5VFC) Retained Earnings Explanation

Historically profitable companies sometimes have negative retained earnings. This is because they have cumulatively paid out more to shareholders than they reported in profits.

For example, in 2011, Microsoft had negative retained earnings. This does not mean the company lost more money than it made over the years. It just means it paid out more money than it earned.

If a company has negative retained earnings, investors should check the 10-year financial results. They should not assume that negative retained earnings prove a company has generally lost money in the past.

Of course, many companies with negative retained earnings have indeed lost money in the past.

Retained Earnings: Warren Buffett's Secret.

One of the most important indicators of durable competitive advantage. Net earnings can be paid out as dividends, used to buy back shares or retained for growth.

If the company loses more than it has accumulated, retained earnings is negative.

If a company isn't adding to its retained earnings, it isn't growing its net worth.

Rate of growth of retained earnings is good indicator whether it's benefiting from a competitive advantage.

Microsoft is negative because it chose to buyback stock and pay dividends.

The more earnings retained, the faster it grows and increases growth rate for future earnings.


Faraday Future Intelligent Electric (STU:5VFC) Business Description

Traded in Other Exchanges
Address
18455 S. Figueroa Street, Gardena, CA, USA, 90248
Faraday Future Intelligent Electric Inc is a global shared intelligent mobility ecosystem. It is poised to break the boundaries between the Internet, IT, creative, and auto industries with product and service offerings that integrate new energy, AI, Internet, and sharing models. FF 91 is its first production vehicle and flagship model.

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