Autokora, UAB - employees and salaries

Company age: 34 y. 0 mo.

Update

Autokora - Basic salary and employee information

Number of employees

11

Annual change in number of employees

+10% (+1)

Average salary

1111 €

Change in average wage per year

+5% (+55 €)

Salary compared to sector average

79%

1 111 € vs 1 401 € sect.

Annual employee turnover

Employee turnover rate = (number of employees who left during the year / average annual number of employees) x 100 %

27,1 %

Number of employees

Number of employees at the end of the year

Number of employees (last 12 months)

Employee turnover rate

Employee turnover is a term describing the process when employees leave an organization and are replaced by new ones. It is an important human resource management indicator reflecting the quality of the company's work environment, employee satisfaction, and organizational culture.

Employee turnover rate = (number of employees who left during the year / average annual number of employees) x 100 %

Average salary

Average salary (by year)

Average salary (last 12 months)

Overview of company employees and salaries

This description was generated by artificial intelligence for the end of 2025. Report if inaccurate.
Autokora, UAB (code 121555935) is a Small company operating in repair and maintenance of motor vehicles. Its average workforce was stable at 8 employees in 2023 and 2024, then increased to 10 in 2025 and 11 so far in 2026, which indicates steady staff expansion over the latest period. This equals 10.0% year-over-year employee growth and 37.5% growth over two years. Average monthly gross wages also moved upward each year, from €911.84 in 2023 to €998.07 in 2024, €1,046.26 in 2025, and €1,104.97 so far in 2026. That represents 5.6% wage growth year over year and 10.7% over two years. Productivity indicators show revenue per employee of €40.8K and profit per employee of €388. Based on the latest average headcount and wage level, estimated annual payroll is about €145.9K so far in 2026.

We can offer mass generation of descriptions and translations using artificial intelligence technologies for your business as well. Read more.