GiG Works

GiG Works EBITDA per Employee

The EBITDA per Employee of GiG Works (2375.T) as of Oct 15, 2026 is 25,408.60 JPY. In the previous year, EBITDA per Employee was -496,017.92 JPY — a change of -105.12% (higher).

EBITDA per Employee

25,408.60JPY

YoY

-105.12%

Last updated:

EBITDA per Employee of GiG Works is 2025 25,408.60 JPY. EBITDA per Employee of GiG Works was 2024 -496,017.92 JPY. It decreases by -105.12% higher compared to the previous year.

The GiG Works EBITDA per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBITDA per Employee
Date
EBITDA per Employee
Jan 1, 2018
707,434.89 JPY
Jan 1, 2019
938,052.57 JPY
Jan 1, 2020
1.20 M JPY
Jan 1, 2021
1.10 M JPY
Jan 1, 2022
550,320.19 JPY
Jan 1, 2023
584,652.33 JPY
Jan 1, 2024
-496,017.92 JPY
Jan 1, 2025
25,408.60 JPY
The GiG Works EBITDA per Employee history
YEAREBITDA per EmployeeYoY
25,408.60JPY-105.12%
-496,017.92JPY-184.84%
584,652.33JPY+6.24%
550,320.19JPY-50.19%
1.10 MJPY-7.87%
1.20 MJPY+27.85%
938,052.57JPY+32.60%
707,434.89JPY+54.81%
456,979.69JPY+41.88%
322,086.02JPY+3.94%
309,874.55JPY-24.46%
410,186.38JPY—

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GiG Works Stock analysis

What does GiG Works do? GiG Works is one of the most popular companies on Eulerpool.

Frequently Asked Questions about GiG Works stock

EBITDA per Employee of GiG Works is 25,408.60 JPY in 2025.

EBITDA per Employee of GiG Works changed from -496,017.92 JPY to 25,408.60 JPY, representing a -105.12% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of EBITDA per Employee GiG Works 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 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 EBITDA per Employee's GiG Works historically and in real time.

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