Company overview
Basic information
Company name
Sprendimų algoritmai, MB
Company code
306383149
VAT code
LT100017110110
Registered address
Vilnius, Žirmūnų g. 113-75, LT-09126
Registration date
2023-08-18
Company age: 3 y. 1 mo.
Contact information
Edit data
Phone
Email
Presented as an image – cannot be copied
Website
None
Indicators
Risk factors
Activity
Legal form
Small partnership
NACE activity
Legal activities
Ownership form
Private without foreign capital
MB Sprendimų algoritmai
Company code: 306383149
Address: Vilnius, Žirmūnų g. 113-75, LT-09126
VAT code: LT100017110110
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Description
This description was generated by artificial intelligence.
Sprendimu algoritmai, MB (company code 306383149) is an operational private small partnership registered in 2023. It is classified as a private enterprise in the national private non-financial companies sector, with other governance and private ownership. The company is based in Vilnius, Vilniaus m. sav., Vilniaus apskr., at Žirmunu g. 113-75. Its registered activity is N.69.10.00, Legal activities.
Financially, the company has grown quickly in its short operating history. In 2025, revenue reached EUR 65.6K, up 86.4% year on year and 231.4% over two years. Net profit was EUR 53.6K, with a profit margin of 81.7%. Equity stood at EUR 95.0K and total assets at EUR 101.5K, while liabilities were EUR 6.5K, indicating a strong equity position. The latest figures also show a debt-to-equity ratio of 0.07 and asset turnover of 0.65x. No average employee or wage figures are provided in the available staff data.
Financially, the company has grown quickly in its short operating history. In 2025, revenue reached EUR 65.6K, up 86.4% year on year and 231.4% over two years. Net profit was EUR 53.6K, with a profit margin of 81.7%. Equity stood at EUR 95.0K and total assets at EUR 101.5K, while liabilities were EUR 6.5K, indicating a strong equity position. The latest figures also show a debt-to-equity ratio of 0.07 and asset turnover of 0.65x. No average employee or wage figures are provided in the available staff data.