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DSAIF (DeepSpatial) Growth Rank : 0 (As of Apr. 02, 2025)


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What is DeepSpatial Growth Rank?

DeepSpatial has the Growth Rank of 0.

GuruFocus Growth Rank measures the growth of a company in terms of its revenue and profitability, rated on a scale from 1 to 10. Historically, the companies with the highest growth ranks performed the best over the long term. It is calculated using the following criteria:

1. 5-year revenue growth rate, the higher, the better.
2. 3-year revenue growth rate, the higher, the better.
3. 5-year EBITDA growth rate, the higher, the better.
4. The predictability of 5-year revenue. The most consistent it is, the higher the rank.

A higher score reflects a greater ability to drive business growth, with companies considered to have strong and sustainable expansion potential. Conversely, a lower score indicates challenges in achieving consistent growth and scalability.

GuruFocus found that the Growth Rank is the second of the two most-sensitive parameters among the five parameters checked. Please click GF Score to see more details on GF Score's 5 Key Aspects of Analysis.

Please note that we are using the five-year EBITDA growth rate as a parameter, so the company needs to have had positive growth over that time. The reason we use EBITDA instead of earnings per share is that with EBITDA, we can rank a lot more companies since a company may have positive EBITDA but negative EPS. Since we are looking at the growth here, EBITDA gives us a pretty clear picture about the growth in the company's business operations.


DeepSpatial Growth Rank Related Terms

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DeepSpatial Business Description

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.