AppTech Payments Stock

AppTech Payments EBITDA per Employee

The EBITDA per Employee of AppTech Payments (APCX) as of Sep 10, 2026 is -9.55 M USD. In the previous year, EBITDA per Employee was -13.05 M USD — a change of -26.87% (higher).

EBITDA per Employee

-9.55 MUSD

YoY

-26.87%

Last updated:

EBITDA per Employee of AppTech Payments is 2026 -9.55 M USD. EBITDA per Employee of AppTech Payments was 2025 -13.05 M USD. It decreases by -26.87% higher compared to the previous year.

The AppTech Payments EBITDA per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBITDA per Employee
Date
EBITDA per Employee
Jan 1, 2017
-3.10 M USD
Jan 1, 2018
-2.05 M USD
Jan 1, 2019
-950,000.00 USD
Jan 1, 2020
-3.61 M USD
Jan 1, 2021
-77.32 M USD
Jan 1, 2022
-16.23 M USD
Jan 1, 2023
-13.05 M USD
Jan 1, 2024
-9.55 M USD
The AppTech Payments EBITDA per Employee history
YEAREBITDA per EmployeeYoY
-9.55 MUSD-26.87%
-13.05 MUSD-19.57%
-16.23 MUSD-79.01%
-77.32 MUSD+2,041.83%
-3.61 MUSD+280.00%
-950,000.00USD-53.66%
-2.05 MUSD-33.87%
-3.10 MUSD
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AppTech Payments Stock analysis

What does AppTech Payments do? AppTech Payments is one of the most popular companies on Eulerpool.

Frequently Asked Questions about AppTech Payments stock

EBITDA per Employee of AppTech Payments is -9.55 M USD in 2026.

EBITDA per Employee of AppTech Payments changed from -13.05 M USD to -9.55 M USD, representing a -26.87% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of EBITDA per Employee AppTech Payments 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 AppTech Payments historically and in real time.

Access this data via the Eulerpool API

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