Data Applications Co Stock

Data Applications Co EBIT per Employee

The EBIT per Employee of Data Applications Co (3848.T) as of Sep 6, 2026 is 2.53 M JPY. In the previous year, EBIT per Employee was 4.23 M JPY — a change of -40.12% (lower).

EBIT per Employee

2.53 MJPY

YoY

-40.12%

Last updated:

EBIT per Employee of Data Applications Co is 2026 2.53 M JPY. EBIT per Employee of Data Applications Co was 2025 4.23 M JPY. It decreases by -40.12% lower compared to the previous year.

The Data Applications Co EBIT per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBIT per Employee
Date
EBIT per Employee
Jan 1, 2018
4.79 M JPY
Jan 1, 2019
5.11 M JPY
Jan 1, 2020
2.81 M JPY
Jan 1, 2021
1.59 M JPY
Jan 1, 2022
3.40 M JPY
Jan 1, 2023
3.78 M JPY
Jan 1, 2024
4.23 M JPY
Jan 1, 2025
2.53 M JPY
The Data Applications Co EBIT per Employee history
YEAREBIT per EmployeeYoY
2.53 MJPY-40.12%
4.23 MJPY+11.92%
3.78 MJPY+11.11%
3.40 MJPY+113.63%
1.59 MJPY-43.41%
2.81 MJPY-44.97%
5.11 MJPY+6.75%
4.79 MJPY+0.51%
4.76 MJPY+12.97%
4.22 MJPY+18.45%
3.56 MJPY+30.12%
2.74 MJPY
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Data Applications Co Stock analysis

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

Frequently Asked Questions about Data Applications Co stock

EBIT per Employee of Data Applications Co is 2.53 M JPY in 2026.

EBIT per Employee of Data Applications Co changed from 4.23 M JPY to 2.53 M JPY, representing a -40.12% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of EBIT per Employee Data Applications Co 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 JPY 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 Data Applications Co historically and in real time.

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