AUTOLISTA, UAB - employees and salaries

Company age: 14 y. 0 mo.

Update

AUTOLISTA - Basic salary and employee information

Number of employees

5

Annual change in number of employees

+0%

Average salary

1244 €

Change in average wage per year

+34% (+313 €)

Salary compared to sector average

67%

1 244 € vs 1 867 € sect.

Annual employee turnover

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

21,1 %

Number of employees

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

Overview of company employees and salaries

This description was generated by artificial intelligence for the end of 2025. Report if inaccurate.
AUTOLISTA, UAB (code 302868500) is a Micro company operating in materials recovery (EVRK E.38.21.00). Its workforce has stayed very small and has gradually declined over the available period: 6 average employees in 2023, 5 in 2024, 5 in 2025, and 4 on average so far in 2026. This means the latest level is below both 2023 and 2024, while the two-year change is also negative. Average monthly gross wages have moved in the opposite direction and have risen every year, from €800.58 in 2023 to €911.86 in 2024, €995.24 in 2025, and €1,168.94 so far in 2026. The latest wage level is 17.4% higher than a year earlier and 28.2% above 2024. Based on the latest employee count, estimated annual payroll is about €56.1K. Productivity indicators show revenue per employee at €51.6K and profit per employee at €944. Overall, the company combines a compact workforce with steadily improving pay levels and modest employee-level profitability.

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