VšĮ Vaizdinės kompiuterijos institutas
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CopyCompany details
Legal status
ActiveCompany ID
304532007Copy
CopyVAT code
LT100012382719Copy
CopyDissolved from 14/02/2024
Incorporation date
18/05/2017Company's manager/representative
Lucija Kisielienė, DirectorCopy
CopyShare capital
-Activity
Research and experimental development on other natural sciences and engineering (72.10.90 - EVRK 2.1)Marks
- Aid recipient,
- Non-governmental organisation
Contacts
Company registration address
Vilnius, Lazdynėlių g. 12-9, LT-04126Check the map
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-
Pre-Score is a statistical predictive model developed by our partner, SCORIFY, based on open data about legal entities. Pre-Score predicts the probability of a company's bankruptcy within next 12 months. Based on all available data about the company (not only open data), the probability of default is estimated by SCORIFY's GOscore rating, which can be found in credit report.Important: The Pre-Score is an opinion of SCORIFY, expressed by using a defined and specified assessment scale. SCORIFY's opinion is not necessarily the same as the opinion of creditors or the company's about its financial reliability.
More about SCORIFY www.scorify.ai
Not calculatedHighest reliabilityLowest reliability
Reliability
A - Highest
B - High
C - Average
D - Low
E - Lowest
No rating is calculated due to the specific legal form of the company.
Data on insured persons (natural persons) whose state social insurance commencement has been notified by the employer to the SSIFB.More information: www.sodra.lt
Number of employees
1
0 ** during past year
The average wage - the amount of wages or other income on which social security contributions are paid. This data is disclosed only if company has more than 3 employees.Average wage
No data available0 € ** during past year
Debts
0.00 €
0 € ** during past year
-100 %Turnover
0 €Credit report
25
Data sourcesBusiness linkages
2
LinkagesMonitoring
1
Changes during the yearSimilar companies
134
Similar companiesThe value of a company is calculated by our partner UAB SCORIFY and is based on Excess return model. It measures the ability of business to generate value added profit in both - short and long term.The calculations of Escess return model use main profitability and growth ratios, that are also assessed by analyzing company`s financial state.
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Company's value
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explore Okredo dataCredit limit is a product of our partner, credit risk assessment and artificial intelligence professional company SCORIFY. The credit limit calculation is based on financial statement data provided by company to Register of Legal Entities and statistical credit risk assessment model of GO score - UAB SCORIFY. Main financial ratios used in calculation of credit limit are:
- Tangible assets.
- Working capital.
- Sales.
- Efficiency ratios.
- Profitability ratios.
- Liquidity ratios.
Credit limit will help you:
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Credit limit
Not CalculatedVšĮ Vaizdinės kompiuterijos institutas related persons
Name, Surname  | Title | Start date | End date | Linkages |
|---|---|---|---|---|
Lucija Kisielienė | Director | 31/08/2018 | - | 4 |
VšĮ Vaizdinės kompiuterijos institutas financial ratios
EBITDA stands for Earnings Before Interest, Taxes, Depreciation, and Amortization and is a metric used to evaluate a company’s operating performance. It can be seen as a proxy for cash flow from the entire company’s operations.EBITDA margin (%)
Register and
explore Okredo dataEBIT margin shows the profitability of a company over a certain period of time.EBIT margin (%)
Register and
explore Okredo data
| Indicator |
|---|
| Turnover (€)From 2022 the financial data of public bodies, associations and charities and support funds shows the total income, which is the sum of sales income, financing income and all other income. |
| Sales per employee (€)Sales per employee is a popular efficiency indicator that is often used to measure a company's performance. The average annual number of employees is usually used to calculate the indicator. |
| Profit before tax (€) |
| Net Profit (€) |
| Profit per employee (€)This ratio is on of company's growth indicators. It shows how much profit per employee is earned by the company. |
| Total profitability (%)It is an indicator of company's performance efficiency, calculated as ratio of gross profit to sales revenue. |
| Net profitability (%)This ratio is commonly referred to as a company’s “bottom line” and is a true indicator of a company’s profitability. It shows how much a net profit of € 1 (or other monetary unit) is generated by sales. |
| Equity (€) |
| Amounts Payable And Liabilities (€) |
| Non-current Assets (€) |
| CurrentAssets (€) |
| Working capital requirementThe working capital requirement indicator shows how much funds a company needs to develop and maintain a business. |
| Debt-to-equity ratioThe debt-to-equity ratio is used to evaluate a company's financial leverage and is calculated by dividing a company’s total liabilities by its shareholder equity.
This ratio is a measure of the degree to which a company is financing its operations through debt versus wholly owned funds. More specifically, it reflects the ability of shareholder equity to cover all outstanding debts in the event of a business downturn. |
| EBITDA margin (%)EBITDA stands for Earnings Before Interest, Taxes, Depreciation, and Amortization and is a metric used to evaluate a company’s operating performance. It can be seen as a proxy for cash flow from the entire company’s operations. |
| EBITDA (€)EBITDA stands for Earnings Before Interest, Taxes, Depreciation, and Amortization. Lenders use EBITDA to calculate a company’s ability to repay a loan and pay interest. |
| EBIT margin (%)EBIT margin shows the profitability of a company over a certain period of time. |
| EBIT (€)EBIT (earnings before interest and taxes) is a company's net income before income tax expense and interest expenses are deducted. EBIT is used to analyze the performance of a company's core operations without the costs of the capital structure and tax expenses impacting profit. |
| 2022 |
|---|
| 5,582 |
| 5,582 |
| 0 |
| - |
| - |
| - |
| - |
| 4,493 |
| 661 |
| 0 |
| 12,139 |
| 2023 |
|---|
| 347 |
| 347 |
| 0 |
| - |
| - |
| - |
| - |
| 3,740 |
| 0 |
| 0 |
| 10,933 |
| 2024 |
|---|
| 0 |
| 0 |
| 0 |
| - |
| - |
| - |
| - |
| 3,577 |
| - |
| 0 |
| - |
Register and
explore Okredo data| 2024 |
|---|
| 0 |
| 0 |
| 0 |
| - |
| - |
| - |
| - |
| 3,577 |
| - |
| 0 |
| - |
Register and
explore Okredo dataTurnover (€)
2024
Turnover (€)
0 €
-100 % *
Sales per employee (€)
0 €-100 % *
Profit before tax (€)
0 €
- *
Net Profit (€)
-Profit per employee (€)
-Total profitability (%)
-Net profitability (%)
-Equity (€)
3,577 €-4 % *
Amounts Payable And Liabilities (€)
-Non-current Assets (€)
0 €- *
CurrentAssets (€)
-Credit history
No. of unpaid debts
Register and
explore Okredo dataAmount of unpaid debts
Register and
explore Okredo dataCredit report
Price: €35.99
Premium users: 1.00 credit
Premium users: 1.00 credit
Company has debt ?
No. of unpaid debts
0
Largest debt
-
Amount of unpaid debts
€0.00
Oldest open debt
-
Unpaid debts
Creditor/Data source | Debt amount | Debt date | Debt type |
|---|---|---|---|
- | - | - | - |
Debts payment history
Creditor/Data source | Debt amount | Debt date / Payment date | Debt type |
|---|---|---|---|
- | - | - | - |
Tax debtsSODRA debt is the amount of national social security contributions, fines, late payment penalties and interest that company should have been paid in accordance with the legislation 2 working days before the date of debt public disclosure. Deferred debt is a debt for which the due date has been postponed in accordance with the procedure provided for by law and has not yet expired. Debts is updated only on working days, except for the first working day after the public holiday.
SODRA debt is the amount of national social security contributions, fines, late payment penalties and interest that company should have been paid in accordance with the legislation 2 working days before the date of debt public disclosure. Deferred debt is a debt for which the due date has been postponed in accordance with the procedure provided for by law and has not yet expired. Debts is updated only on working days, except for the first working day after the public holiday.
Sodra debt
STI debtCourts
Defendant
(0)
Plaintiff
(0)
3rd party
(0)
Cases (Company as defendant)
0
Case No./date | Process parties | Case/Court ruling | Court | No. of court hearings | More |
|---|---|---|---|---|---|
| - | - | - | - | - | - |
Cases (Company as plaintiff)
0
Case No./date | Process parties | Case/Court ruling | Court | No. of court hearings | More |
|---|---|---|---|---|---|
| - | - | - | - | - | - |
Cases (Company as third party)
0
Case No./date | Process parties | Case/Court ruling | Court | No. of court hearings | More |
|---|---|---|---|---|---|
| - | - | - | - | - | - |
ESG data
Energy performance of the company's head office building
Information is provided on the basis of public data about building energy efficiency certification published by State Agency of Construction Sector Development.More information: https://www.ssva.lt
Energy efficiency
G
AddressVilnius, Lazdynėlių g. 12-9, LT-04126
Certificate No.KG-0493-23157
Date of issue02/06/2025
Valid till02/06/2035
Heated area50.77 m²
Heat sourcenenustatyta
Energy consumptionEnergy consumption (kWh/m²/year) - Calculated total energy consumption per square metre of the useful floor area of a building (part of a building).
0 kWh/m²/metaiEnergy consumption (kWh/m²/year) - Calculated total energy consumption per square metre of the useful floor area of a building (part of a building).Co2 emissionCO₂ - the annual carbon dioxide emissions of a building (part of a building).
-CO₂ - the annual carbon dioxide emissions of a building (part of a building).Energy consumption for heating
-Building function
Kiti gyvenamieji pastatai (namai)Energy effiency class
GVehicles
0
The data is provided only on vehicles that company owns by the right of owner operator or owner-operator. No data will be provided on vehicles that company is financing the purchase of.Company's eco score according CO² of vehicle fleet
Green Index is a unique solution developed by Okredo. This solution allows to estimate the carbon footprint of company's fleet. If WLTP/NEDC carbon footprint data is not provided, then the calculations are made using open technical data of the vehicles provided by the State Enterprise Regitra and the provisions of the Law on Motor Vehicle Registration Tax.The highest level of climate friendlyness applies to those companies, whose vehicles emit no more than 120 g/km of CO2m per vehicle.
<120
120 - 140
140 - 155
155 - 170
170 - 190
190 - 255
255+
Not determinedMaximum environmental friendliness
Lowest environmental friendliness
Vehicles
CLASS
AMOUNT
(<120)0
(120 - 140)0
(140 - 155)0
(155 - 170)0
(170 - 190)0
(190 - 255)0
(255+)0
(Not determined)0
Total
0
Eco score | Brand, model | Category | Engine capacity | Fuel |
|---|---|---|---|---|
 | Įmonės vardu transporto priemonės neregistruotos | - | - | - |
Trademarks
Company registered trademarks
0
No trademarks found
Public data
Govermental support
Institution | Support measure |
|---|---|
 | Non-refundable subsidy for micro-enterprises 2020 |
 | Fund of ILTE business stimulation means (2020) |
| Covid 19 aid measures (subsidies, compensation) in 2020 - 2022 |
| Covid 19 aid measures (guarantees provided) in 2020 - 2022 |
| Covid 19 aid measures (loans) in 2020 - 2022 |
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explore Okredo dataPublic negative information
Data source | Information |
|---|---|
 | Redundancy of employees group (number of employees notified, date of announcement) |
 | Tax inspectorate information on payments in cash |
 | Public procurement office information on unreliable suppliers |
| Public procurement office information on those that supplied false data |
| Public procurement office information on possible disqualification from public procurement procedures |
Register and
explore Okredo dataPublic data
Data source | Information |
|---|---|
 | Data from the B2Lithuania database of exporters |
| The biggest taxpayers in 2021 |
| Top taxpayers in 2021 excluding excise duties and VAT. |
| Top personal income tax payers in 2021 |
| Top taxpayers for corporate income tax in 2021 |
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explore Okredo dataLicenses
The company has no records of any licenses', permits, certificates, or other licensing documents issued.
Public procurement
No. of won tenders
0* during past yearTotal value of contracts
0 €Number of announced tenders
0* during past yearTotal value of contracts
0 €Won tenders
Date | Procurer/contractor | Amount | Project |
|---|---|---|---|
- | - | - | - |
Announced tenders
Date | Procurer/contractor | Amount | Project |
|---|---|---|---|
- | - | - | - |
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1Description
CopyAbout VšĮ Vaizdinės kompiuterijos institutas
VšĮ Vaizdinės kompiuterijos institutas was established in 18/05/2017, its legal status according to data of Registry of Legal Entities is Active.Main activity of the company according NACE2 classification – Research and experimental development on other natural sciences and engineering (72.10.90 - EVRK 2.1), 72.10.90. Company is owned by 1 shareholder. Company's representation right – Sole representation.
In 2024 VšĮ Vaizdinės kompiuterijos institutas turnover was 0 EUR, gross profit EUR. According to SODRA company has 1 employee. VšĮ Vaizdinės kompiuterijos institutas is registered at – Vilnius, Lazdynėlių g. 12-9, LT-04126.
Business objectives of the company as officially recorded in the Register of Legal Entities: vykdyti šalies kultūros ir visuomenės tęstinumui ir plėtrai svarbius ilgalaikius fundamentinius vizualinės kompiuterijos mokslinius tyrimus ir socialinę bei kultūrinę plėtrą; kaupti, sisteminti, saugoti, skleisti vizualinės kompiuterijos žinias šalyje ir užsienyje; plėtoti vizualinės kompiuterijos mokslines duomenų bazes bei skaitmeninius produktus vizualinės kompiuterijos srityse; dalyvauti vizualinės kompiuterijos tyrimų ir plėtros strategijų bei planų rengime Lietuvoje kitose šalyse; bendradarbiauti su valstybės institucijomis ir užsienio šalių atstovybėmis Lietuvoje, Lietuvos Respublikos atstovybėmis užsienyje, sprendžiant aktualius vizualinės kompiuterijos populiarinimo šalyje ir pasaulyje klausimus; bendradarbiauti su socialiniais partneriais socialinės ir kultūrinės plėtros srityje; bendradarbiauti su mokslo ir studijų institucijomis ir teikti joms visokeriopą pagalbą plėtojant vizualinės kompiuterijos sektorių, kartu su universitetais įstatymų nustatyta tvarka rengti mokslininkus; teikti mokslinę pagalbą ir paramą vizualinės kompiuterijos srityje Lietuvoje ir tyrimų centrams užsienyje: skatinti aukščiausio lygio mokslininkus dalyvauti tarptautiniuose ir tarpdisciplininiuose tyrimuose, rengiant bendrus projektus, inicijuojant bendrus tyrimus; teikti mokslinę ir metodinę pagalbą rengiant vizualinės kompiuterijos renginius užsienyje; vykdyti mokslo tiriamąją bei eksperimentinės plėtros veiklą; teikti konsultacijas ir mokymus, teikti ekspertizes bei rekomendacijas, rengti visuomenines akcijas ir komunikacijos kampanijas, skatinančias naujų mokslinių ir technologinių idėjų sklaidą; skatinti gyventojus, įmones bei valstybės įstaigas remtis naujomis technologijomis ir moksliniais tyrimais bei analize; kurti inovacijas ir teikti pasiūlymus aktualių problemų sprendimui; siekti aktyvaus verslo ir mokslo sferų bendradarbiavimo skatinant verslo sektorių diegti mokslines inovacijas bei remtis moksliniais tyrimais; populiarinti mokslo bei technologijų pasiekimus bei kelti mokslo prestižą visuomenėje; rengti mokslines ekspedicijas bei išvykas Lietuvoje ir kitose šalyse (no translation available)
All data about VšĮ Vaizdinės kompiuterijos institutas is up to date and consistent with the primary data source.