Hyperscale Data Stock

Hyperscale Data EBIT per Employee

The EBIT per Employee of Hyperscale Data (GPUS) as of Sep 10, 2026 is -58,630.89 USD. In the previous year, EBIT per Employee was -142,292.68 USD — a change of -58.80% (higher).

EBIT per Employee

-58,630.89USD

YoY

-58.80%

Last updated:

EBIT per Employee of Hyperscale Data is 2026 -58,630.89 USD. EBIT per Employee of Hyperscale Data was 2025 -142,292.68 USD. It decreases by -58.80% higher compared to the previous year.

The Hyperscale Data EBIT per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBIT per Employee
Date
EBIT per Employee
Jan 1, 2017
-9,728.46 USD
Jan 1, 2018
-30,738.21 USD
Jan 1, 2019
-32,091.06 USD
Jan 1, 2020
-9,809.76 USD
Jan 1, 2021
-29,200.00 USD
Jan 1, 2022
-67,899.19 USD
Jan 1, 2023
-142,292.68 USD
Jan 1, 2024
-58,630.89 USD
The Hyperscale Data EBIT per Employee history
YEAREBIT per EmployeeYoY
-58,630.89USD-58.80%
-142,292.68USD+109.56%
-67,899.19USD+132.53%
-29,200.00USD+197.66%
-9,809.76USD-69.43%
-32,091.06USD+4.40%
-30,738.21USD+215.96%
-9,728.46USD+390.81%
-1,982.11USD+21.54%
-1,630.89USD+85.06%
-881.30USD
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Hyperscale Data Stock analysis

What does Hyperscale Data do? Hyperscale Data is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Hyperscale Data stock

EBIT per Employee of Hyperscale Data is -58,630.89 USD in 2026.

EBIT per Employee of Hyperscale Data changed from -142,292.68 USD to -58,630.89 USD, representing a -58.80% change. The value is higher than the previous year.

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

EBIT per employee measures operating profit per employee, showing how efficiently the workforce generates operating earnings.

EBIT 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 EBIT per Employee's Hyperscale Data historically and in real time.

Access this data via the Eulerpool API

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