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DeepSpatial (XCNQ:DSAI) Capex-to-Operating-Income : 0.00 (As of Dec. 2023)


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What is DeepSpatial Capex-to-Operating-Income?

Capex-to-Operating-Income measures a company's investments in physical assets such as property, industrial buildings or equipment to its operating income.

DeepSpatial's Capital Expenditure for the three months ended in Dec. 2023 was C$0.00 Mil. Its Operating Income for the three months ended in Dec. 2023 was C$-0.49 Mil.

GuruFocus do not calculate Capex-to-Operating-Income if the Operating Income is negative.


DeepSpatial Capex-to-Operating-Income Historical Data

The historical data trend for DeepSpatial's Capex-to-Operating-Income 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.

DeepSpatial Capex-to-Operating-Income Chart

DeepSpatial Annual Data
Trend Jun20 Jun21 Jun22 Jun23
Capex-to-Operating-Income
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DeepSpatial Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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Competitive Comparison of DeepSpatial's Capex-to-Operating-Income

For the Software - Infrastructure subindustry, DeepSpatial's Capex-to-Operating-Income, along with its competitors' market caps and Capex-to-Operating-Income 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.


DeepSpatial's Capex-to-Operating-Income Distribution in the Software Industry

For the Software industry and Technology sector, DeepSpatial's Capex-to-Operating-Income distribution charts can be found below:

* The bar in red indicates where DeepSpatial's Capex-to-Operating-Income falls into.



DeepSpatial Capex-to-Operating-Income Calculation

DeepSpatial's Capex-to-Operating-Income for the fiscal year that ended in Jun. 2023 is calculated as

Capex-to-Operating-Income=- Capital Expenditure / Operating Income
=- (0) / -1.438
=N/A

DeepSpatial's Capex-to-Operating-Income for the quarter that ended in Dec. 2023 is calculated as

Capex-to-Operating-Income=- Capital Expenditure / Operating Income
=- (0) / -0.49
=N/A

* 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.


DeepSpatial  (XCNQ:DSAI) Capex-to-Operating-Income Explanation

Capex-to-Operating-Income assesses how much emphasis a company is placing upon investing in capital-intensive projects. The ratio is generally a good gauge to quantify how much focus on growth a company has. Typically, smaller companies that are still growing and expanding will have a higher Capex to Operating Income Ratio, since such businesses are likely investing more in physical assets. Lower ratios could indicate that a company has reached maturity and it is no longer pursuing aggressive growth.


DeepSpatial Capex-to-Operating-Income Related Terms

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DeepSpatial (XCNQ:DSAI) Business Description

Industry
Traded in Other Exchanges
Address
77 King Street West, Suite 3000, Toronto, ON, CAN, M5K 1G8
DeepSpatial Inc is an artificial intelligence, technology SaaS company at the forefront of geospatial artificial intelligence and geographic informational systems, specializing in providing robust location intelligence solutions for transforming existing location data into business outcomes. AI powered solutions to businesses by leveraging the power of geospatial data. The company has built products that target four specific customer needs across industry verticals. These are geodemographic customer profiling, price recommendation engine, inventory management and supply chain analytics, and sentiment monitoring to measure and improve brand health.

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