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DSAIF (DeepSpatial) Buildings And Improvements : $0.00 Mil (As of Mar. 2024)


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What is DeepSpatial Buildings And Improvements?


DeepSpatial Buildings And Improvements Historical Data

The historical data trend for DeepSpatial's Buildings And Improvements 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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DeepSpatial Buildings And Improvements Chart

DeepSpatial Annual Data
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Buildings And Improvements
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DeepSpatial Quarterly Data
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DeepSpatial Buildings And Improvements Calculation

Buildings are typically valued at the time of acquisition or construction.  Broker and architect fees, permits, etc. can be covered within this category.  Building components, such as a roof, are normally recorded separately in an asset register since the value and useful lives of these components equal much less than the building itself.

Building improvements that extend the useful life of a building will fall into the category of “building improvements” and should be capitalized.  Improvements are commonly recorded at acquisition cost.  Building improvement examples include roofing, remodeling, replacements, etc.


DeepSpatial Business Description

Industry
Traded in Other Exchanges
N/A
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.