ZEEKR Intelligent Total Liab Over Time
| ZK Stock | 23.43 0.99 4.41% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out ZEEKR Intelligent Performance and ZEEKR Intelligent Correlation. ZEEKR |
Is Automobile Manufacturers space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of ZEEKR Intelligent. If investors know ZEEKR will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about ZEEKR Intelligent listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (4.92) | Revenue Per Share 314.047 | Quarterly Revenue Growth 0.584 | Return On Assets (0.19) |
The market value of ZEEKR Intelligent is measured differently than its book value, which is the value of ZEEKR that is recorded on the company's balance sheet. Investors also form their own opinion of ZEEKR Intelligent's value that differs from its market value or its book value, called intrinsic value, which is ZEEKR Intelligent's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ZEEKR Intelligent's market value can be influenced by many factors that don't directly affect ZEEKR Intelligent's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ZEEKR Intelligent's value and its price as these two are different measures arrived at by different means. Investors typically determine if ZEEKR Intelligent is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ZEEKR Intelligent's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Cross Equities Total Liab Analysis
Compare ZEEKR Intelligent and related stocks such as Nio Class A, Xpeng Inc, and Tesla Inc Total Liab Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NIO | 5.7 B | 5.7 B | 5.7 B | 5.7 B | 5.7 B | 5.7 B | 5.7 B | 22.1 B | 12 B | 20.9 B | 27.5 B | 44.8 B | 68.6 B | 91.6 B | 96.2 B |
| XPEV | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 9.9 B | 16.1 B | 10.3 B | 23.5 B | 34.6 B | 47.8 B | 26.1 B |
| TSLA | 152.7 M | 489.4 M | 989.5 M | 1.7 B | 4.9 B | 7 B | 16.8 B | 23 B | 23.4 B | 26.2 B | 28.5 B | 31.1 B | 36.4 B | 43 B | 45.2 B |
| LI | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 8.2 B | 3.3 B | 6.6 B | 20.8 B | 41.4 B | 82.9 B | 87 B |
| GOEV | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 127.9 M | 181.6 M | 179.1 M | 259.9 M | 292.4 M | 229 M |
ZEEKR Intelligent and related stocks such as Nio Class A, Xpeng Inc, and Tesla Inc Total Liab description
The total amount of all liabilities that a company has, including both short-term and long-term liabilities.My Equities
My Current Equities and Potential Positions
| ZEEKR Intelligent Technology | ZK |
| Classification | Automobiles and Trucks |
| Location | China |
| Exchange | New York Stock Exchange |
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Check out ZEEKR Intelligent Performance and ZEEKR Intelligent Correlation. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
ZEEKR Intelligent technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.