Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
JSC Expert RA
Moscow
OGRN: 1037700071628
TIN: 7710248947
Active. Last modified on: April 19, 2007
Profile views
5,555
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Subscribers
1
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Company-related news
628
-65 last week
OKVED2 66.19.7 Total: 9
Rating activity
Monitoring Notes Reports Contact information
169,91
mln ₽, 2016
Revenue
+₽14mln
CEO, Council chief
Chekurova Marina Viktorovna
53
Reliability Score
JavaScript chart by amCharts 3.21.1
CEO, Council chief
Chekurova Marina Viktorovna
27
years
Established
June 26, 1997
City Moscow
169,91
mln ₽, 2016
Revenue
+₽14mln
1 164
Connections
+0 last week
Employees
No data

Taxes & Levies

Paid taxes and levies

2021

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Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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Other
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2020

Taxes
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Paid amount as of ▒▒.▒▒.2020
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Name
Paid amount as of ▒▒.▒▒.2020
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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Other
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Paid amount as of ▒▒.▒▒.2020
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2019

Taxes
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Name
Paid amount as of ▒▒.▒▒.2019
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
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▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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Other
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Name
Paid amount as of ▒▒.▒▒.2019
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2018

Taxes
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Paid amount as of ▒▒.▒▒.2018
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▒▒▒▒▒▒▒ ▒▒▒
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Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
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▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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Other
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Name
Paid amount as of ▒▒.▒▒.2018
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2017

Taxes
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Paid amount as of ▒▒.▒▒.2017
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Contributions
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Name
Paid amount as of ▒▒.▒▒.2017
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▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
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▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2017
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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!