Geospatial Stock

Geospatial EBITDA per Employee

The EBITDA per Employee of Geospatial (GSPH) as of Sep 4, 2026 is -13,378.33 USD. In the previous year, EBITDA per Employee was -23,820.00 USD — a change of -43.84% (higher).

EBITDA per Employee

-13,378.33USD

YoY

-43.84%

Last updated:

EBITDA per Employee of Geospatial is 2026 -13,378.33 USD. EBITDA per Employee of Geospatial was 2025 -23,820.00 USD. It decreases by -43.84% higher compared to the previous year.

The Geospatial EBITDA per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBITDA per Employee
Date
EBITDA per Employee
Jan 1, 2014
-49,778.33 USD
Jan 1, 2015
-41,618.33 USD
Jan 1, 2016
-19,613.33 USD
Jan 1, 2017
-23,820.00 USD
Jan 1, 2018
-13,378.33 USD
The Geospatial EBITDA per Employee history
YEAREBITDA per EmployeeYoY
-13,378.33USD-43.84%
-23,820.00USD+21.45%
-19,613.33USD-52.87%
-41,618.33USD-16.39%
-49,778.33USD
Access this data via the Eulerpool API

Geospatial Stock analysis

What does Geospatial do? Geospatial Corp is a company specializing in the creation of geographical data and maps. It was founded in 2001 and is headquartered in Pittsburgh, Pennsylvania. Geospatial is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Geospatial stock

EBITDA per Employee of Geospatial is -13,378.33 USD in 2026.

EBITDA per Employee of Geospatial changed from -23,820.00 USD to -13,378.33 USD, representing a -43.84% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of EBITDA per Employee Geospatial since 2006 – with annual values, charts, and detailed analysis.

EBITDA per employee measures operating cash earnings generated per employee, showing workforce productivity before depreciation and financing effects.

EBITDA per Employee's USD is a key factor for investors. Changes in this metric can signal improving or deteriorating fundamentals, directly impacting the stock price. On Eulerpool, you can track EBITDA per Employee's Geospatial historically and in real time.

Access this data via the Eulerpool API

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