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CRWV (CoreWeave) Liabilities-to-Assets : 1.02 (As of Dec. 2024)


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What is CoreWeave Liabilities-to-Assets?

Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities, calculated as total liabilities divided by total asset. CoreWeave's Total Liabilities for the quarter that ended in Dec. 2024 was $18,246.2 Mil. CoreWeave's Total Assets for the quarter that ended in Dec. 2024 was $17,832.6 Mil. Therefore, CoreWeave's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2024 was 1.02.


CoreWeave Liabilities-to-Assets Historical Data

The historical data trend for CoreWeave's Liabilities-to-Assets 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.

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CoreWeave Liabilities-to-Assets Chart

CoreWeave Annual Data
Trend Dec22 Dec23 Dec24
Liabilities-to-Assets
- 1.12 1.02

CoreWeave Quarterly Data
Dec23 Sep24 Dec24
Liabilities-to-Assets 1.12 1.02 1.02

Competitive Comparison of CoreWeave's Liabilities-to-Assets

For the Software - Infrastructure subindustry, CoreWeave's Liabilities-to-Assets, along with its competitors' market caps and Liabilities-to-Assets data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


CoreWeave's Liabilities-to-Assets Distribution in the Software Industry

For the Software industry and Technology sector, CoreWeave's Liabilities-to-Assets distribution charts can be found below:

* The bar in red indicates where CoreWeave's Liabilities-to-Assets falls into.


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CoreWeave Liabilities-to-Assets Calculation

Liabilities-to-Assets ratio measures the portion of the total liabilities to the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.

Liabilities-to-Assets ratio is calculated by dividing total liabilities by total asset.

CoreWeave's Liabilities-to-Assets Ratio for the fiscal year that ended in Dec. 2024 is calculated as:

Liabilities-to-Assets (A: Dec. 2024 )=Total Liabilities/Total Assets
=18246.197/17832.599
=1.02

CoreWeave's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2024 is calculated as

Liabilities-to-Assets (Q: Dec. 2024 )=Total Liabilities/Total Assets
=18246.197/17832.599
=1.02

* 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.


CoreWeave  (NAS:CRWV) Liabilities-to-Assets Explanation

Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities. It can vary greatly across different industries, as they have different capital structure. A high Liabilities-to-Assets ratio (more leveraged) suggests that the company might have potential solvency problems, or even a signal of financial distress. Conversely, a low Liabilities-to-Assets ratio usually indicates a healthy financial situation. However, it may also suggest that the company is not expanding or not making good use of debt.


CoreWeave Liabilities-to-Assets Related Terms

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CoreWeave Business Description

Traded in Other Exchanges
N/A
Address
290 W Mt. Pleasant Avenue, Suite 4100, Livingston, NJ, USA, 07039
CoreWeave Inc is a modern cloud infrastructure technology company that offers the CoreWeave Cloud Platform which consists of proprietary software and cloud services that deliver the automation and efficiency needed to manage complex AI infrastructure at scale. Its platform supports the development and use of ground-breaking models and the delivery of the next generation of AI applications that are changing the way of living and working across the globe.