Gintaro galerija, UAB - employees and salaries

Company age: 30 y. 10 mo.

Update

Gintaro galerija - Basic salary and employee information

Number of employees

10

Annual change in number of employees

+0%

Average salary

1268 €

Change in average wage per year

+13% (+144 €)

Salary compared to sector average

85%

1 268 € vs 1 492 € sect.

Annual employee turnover

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

42,1 %

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.
Gintaro galerija, UAB (code 152754643) is classified as a Small company operating in other non-specialised retail sale. Its workforce has been stable at an average of 9 employees in 2023, 2024, 2025 and so far in 2026. This indicates a consistent staffing level over the available period, with no visible expansion or reduction in headcount. Average monthly gross wages increased from €1,007.44 in 2023 to €1,056.77 in 2024 and €1,163.77 in 2025, reaching €1,179.73 so far in 2026. That means wages were up 1.4% year on year and 11.6% over two years. Based on the latest staffing and wage data, the estimated annual payroll is €127.4K. Productivity indicators show revenue per employee at €71.4K and profit per employee at €4.2K, suggesting a modest but positive earnings profile per worker.

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