GBAIF (Greater Bay Area AI Computing Tech Co) Cash Conversion Cycle: 919.65 (As of Dec. 2025)


GBAIF Greater Bay Area AI Computing Tech Co Ltd GBAIF
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What is Greater Bay Area AI Computing Tech Co Cash Conversion Cycle?

Greater Bay Area AI Computing Tech Co GBAIF 30 Cash Conversion Cycle is 919.65 as of Dec. 2025. GuruFocus rates GBAIF with a GF Score™ of 30/100. The stock has 5 warning signs investors should review.

Cash Conversion Cycle is one of several measures of management effectiveness. It equals Days Sales Outstanding + Days Inventory - Days Payable.

Greater Bay Area AI Computing Tech Co's Days Sales Outstanding for the six months ended in Dec. 2025 was 53.54.
Greater Bay Area AI Computing Tech Co's Days Inventory for the six months ended in Dec. 2025 was 1659.15.
Greater Bay Area AI Computing Tech Co's Days Payable for the six months ended in Dec. 2025 was 793.04.
Therefore, Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle (CCC) for the six months ended in Dec. 2025 was 919.65.


Greater Bay Area AI Computing Tech Co  (OTCPK:GBAIF) Cash Conversion Cycle Explanation

Generally, the lower this number is, the better for the company. Although it should be combined with other metrics (such as ROE % and ROA %), it can be especially useful for comparing close competitors, because the company with the lowest CCC is often the one with better management.


Be Aware

CCC is most effective with retail-type companies, which have inventories that are sold to customers. Consulting businesses, software companies and insurance companies are all examples of companies for whom this metric is meaningless.

The CCC is one of several tools that can help you evaluate management, especially if it is calculated for several consecutive time periods and for several competitors. Decreasing or steady CCCs are good, while rising ones should motivate you to dig a bit deeper.


Greater Bay Area AI Computing Tech Co Cash Conversion Cycle Related Terms


Greater Bay Area AI Computing Tech Co Cash Conversion Cycle Historical Data

* Premium members only.

The historical data trend for Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle 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.

Greater Bay Area AI Computing Tech Co Cash Conversion Cycle Chart

Greater Bay Area AI Computing Tech Co Annual Data
Trend Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24 Dec25
Cash Conversion Cycle
Get a 7-Day Free Trial Premium Member Only Premium Member Only 699.85 1,399.87 1,144.12 1,174.47 1,542.33

Greater Bay Area AI Computing Tech Co Semi-Annual Data
Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24 Jun25 Dec25
Cash Conversion Cycle Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 1,079.59 1,410.95 1,046.27 1,784.79 919.65

Greater Bay Area AI Computing Tech Co Cash Conversion Cycle Competitor Comparison

For the Real Estate - Development subindustry, Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle, along with its competitors' market caps and Cash Conversion Cycle 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.


Greater Bay Area AI Computing Tech Co Cash Conversion Cycle vs Real Estate Industry

For the Real Estate industry and Real Estate sector, Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle distribution charts can be found below:

* The bar in red indicates where Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle falls into.


GBAIF
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Greater Bay Area AI Computing Tech Co Ltd GBAIF
Cash Conversion Cycle is just one metric. See GF Score™, valuation, warning signs, and more.
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Greater Bay Area AI Computing Tech Co Cash Conversion Cycle Calculation

Cash Conversion Cycle (CCC) measures how fast a company can convert cash on hand into even more cash on hand. This metric looks at the amount of time needed to sell inventory, the amount of time needed to collect receivables and the length of time the company is afforded to pay its bills without incurring penalties.

Cash Conversion Cycle is one of several measures of management effectiveness.

Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle for the fiscal year that ended in Dec. 2025 is calculated as

Cash Conversion Cycle=Days Sales Outstanding +Days Inventory-Days Payable
=81.15+2328.38-867.2
=1,542.33

Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle for the quarter that ended in Dec. 2025 is calculated as:

Cash Conversion Cycle=Days Sales Outstanding+Days Inventory-Days Payable
=53.54+1659.15-793.04
=919.65

* 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.

Frequently Asked Questions Learn more about Cash Conversion Cycle →
What does a Cash Conversion Cycle of 919.65 mean?
Greater Bay Area AI Computing Tech Co (GBAIF) has a Cash Conversion Cycle of 919.65 as of Dec. 2025. Cash conversion cycle equals sum of days inventory and days sales outstanding less days payable. View historical data on Greater Bay Area AI Computing Tech Co and its competitors.
Is Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle too high?
Greater Bay Area AI Computing Tech Co's current Cash Conversion Cycle is 919.65. The Real Estate industry median Cash Conversion Cycle is 320.77. Greater Bay Area AI Computing Tech Co's value of 919.65 is 186.7% above this industry median. Overall, Greater Bay Area AI Computing Tech Co has a GF Score™ of 30/100, reflecting its overall financial health beyond just this single metric.
How does Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle compare to competitors?
Greater Bay Area AI Computing Tech Co's Cash Conversion Cycle of 919.65 can be compared against companies in the Real Estate industry. The industry median Cash Conversion Cycle is 320.77. Greater Bay Area AI Computing Tech Co's value of 919.65 is 186.7% above this benchmark. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Cash Conversion Cycle for a Real Estate company?
The median Cash Conversion Cycle among Real Estate companies is 320.77, based on 1,733 companies in the industry. Companies in the top quartile (top 25%) have a Cash Conversion Cycle significantly above this median, while those in the bottom quartile fall well below. However, Cash Conversion Cycle should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Greater Bay Area AI Computing Tech Co's current Cash Conversion Cycle of 919.65 is 186.7% above the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Cash Conversion Cycle mean?
A high Cash Conversion Cycle can signal that a stock is expensive relative to its fundamentals. Cash conversion cycle equals sum of days inventory and days sales outstanding less days payable. View historical data on Greater Bay Area AI Computing Tech Co and its competitors. For the Real Estate industry, the median Cash Conversion Cycle is 320.77 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Greater Bay Area AI Computing Tech Co's current Cash Conversion Cycle is 919.65. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Greater Bay Area AI Computing Tech Co stock overvalued right now?
Greater Bay Area AI Computing Tech Co (GBAIF) has a current Cash Conversion Cycle of 919.65. The current Cash Conversion Cycle is 919.65 and 186.7% above the Real Estate industry median of 320.77. Greater Bay Area AI Computing Tech Co's overall GF Score™ is 30/100 with 5 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Cash Conversion Cycle calculated?
Cash Conversion Cycle is calculated from a company's financial statements. For Greater Bay Area AI Computing Tech Co (GBAIF), the current Cash Conversion Cycle is 919.65 as of Dec. 2025. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Greater Bay Area AI Computing Tech Co Business Description

Other Exchanges 01396:Hong Kong16H0:Germany
Address Hetao Innovation Center, 17th Floor, Tower A, Futian District, Shenzhen, CHN
Greater Bay Area AI Computing Tech Co Ltd, formerly Guangdong Hong Kong Greater Bay Area Holdings Ltd is engaged in the development of residential and urban renewal projects in the Greater Bay Area. The principal activities of the Group are the development, sales, and operation of residential properties, commercial trade and logistics centers, and trading business in Mainland China. The segments of the company are Infrastructure business, AI computing power services, and Integration and delivery of high-performance server equipment. It derives maximum revenue from AI computing power services segment engaged in the construction, delivery, and operation of large-scale training and inference computing clusters. It has a geographic presence in Hong Kong, Macao, Taiwan, Chinese mainland.
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