Tego Science

Tego Science EBITDA per Employee

The EBITDA per Employee of Tego Science (191420.KQ) as of Oct 13, 2026 is -51.53 M KRW. In the previous year, EBITDA per Employee was -54.09 M KRW — a change of -4.72% (higher).

EBITDA per Employee

-51.53 MKRW

YoY

-4.72%

Last updated:

EBITDA per Employee of Tego Science is 2024 -51.53 M KRW. EBITDA per Employee of Tego Science was 2023 -54.09 M KRW. It decreases by -4.72% higher compared to the previous year.

The Tego Science EBITDA per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBITDA per Employee
Date
EBITDA per Employee
Jan 1, 2017
48.98 M KRW
Jan 1, 2018
24.83 M KRW
Jan 1, 2019
12.18 M KRW
Jan 1, 2020
43.25 M KRW
Jan 1, 2021
4.59 M KRW
Jan 1, 2022
9.42 M KRW
Jan 1, 2023
-54.09 M KRW
Jan 1, 2024
-51.53 M KRW
The Tego Science EBITDA per Employee history
YEAREBITDA per EmployeeYoY
-51.53 MKRW-4.72%
-54.09 MKRW-674.20%
9.42 MKRW+105.43%
4.59 MKRW-89.40%
43.25 MKRW+255.17%
12.18 MKRW-50.96%
24.83 MKRW-49.30%
48.98 MKRW-13.40%
56.56 MKRW+55.55%
36.36 MKRW-18.45%
44.58 MKRW—
Access this data via the Eulerpool API

Tego Science Stock analysis

What does Tego Science do? Tego Science is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Tego Science stock

EBITDA per Employee of Tego Science is -51.53 M KRW in 2024.

EBITDA per Employee of Tego Science changed from -54.09 M KRW to -51.53 M KRW, representing a -4.72% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of EBITDA per Employee Tego Science 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 KRW 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 Tego Science historically and in real time.

Access this data via the Eulerpool API

Workforce — Tego Science

All Key Metrics — Tego Science