Критерии создания регламента проверки контрагентов
Пошаговая подготовка внутреннего документа.
Details
LLC "NATIONAL WELFARE FUND"
Saint Petersburg
OGRN: 1147847137657
TIN: 7838504312
Active
Profile views
2,121
+10 last week
Subscribers
0
+0 last week
Company-related news
95
-23 last week
OKVED2 64.19 Total: 57
Other monetary intermediation
Monitoring Notes Reports Contact information
40
Reliability Score
JavaScript chart by amCharts 3.21.1
CEO
Dusheiko Aleksandr Sergeevich
11
years
Established
April 16, 2014
City Saint Petersburg
Revenue
No data
6
Connections
+0 last week
15
less than
Employees

Taxes & Levies

Tax and levy liabilities

Other
Total amount as of ▒▒.▒▒.2025: ▒▒▒▒▒ ₽
Type of Debt
Underpayment
Late fee
Fines
Total
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒ ₽
▒▒▒▒▒ ₽
▒▒▒▒▒ ₽

Paid taxes and levies

2023

Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2023
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2023
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒ ▒▒▒▒▒
▒▒▒▒▒ ₽

2022

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2022
▒▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2022
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2022
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽

2021

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽

2020

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽

2019

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2019
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2019
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2019
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽

2018

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
▒▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽

2017

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2017
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2017
▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
Data sources Information on paid taxes and fees is collected from public sources.

Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.

If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!

Data sources Information on paid taxes and fees is collected from public sources.

Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.

If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!