DSAIF (DeepSpatial) Repurchase of Stock : $0.00 Mil (TTM As of Mar. 2024)

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What is DeepSpatial Repurchase of Stock?

DeepSpatial's Repurchase of Stock for the three months ended in Mar. 2024 was $0.00 Mil.

DeepSpatial's Repurchase of Stock for the trailing twelve months (TTM) ended in Mar. 2024 was $0.00 Mil.

DeepSpatial Repurchase of Stock Historical Data

The historical data trend for DeepSpatial's Repurchase of Stock 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 Repurchase of Stock Chart

DeepSpatial Annual Data

Trend

Jun20

Jun21

Jun22

Jun23

Repurchase of Stock

DeepSpatial Quarterly Data
	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
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DeepSpatial Repurchase of Stock Calculation

A company may raise cash from issuing new shares. It can also use cash to buy back shares. Repurchase of Stock represents the cash outflow to reacquire common stock during the period.

Repurchase of Stock for the trailing twelve months (TTM) ended in Mar. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was $0.00 Mil.

DeepSpatial Repurchase of Stock Related Terms

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DeepSpatial Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » DeepSpatial Inc (OTCPK:DSAIF) » Definitions » Repurchase of Stock

Comparable Companies

Traded in Other Exchanges

N/A

Address

77 King Street West, Suite 3000, Toronto, ON, CAN, M5K 1G8

Website

https://www.deepspatial.ai

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.