Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
LLC "Private security company "Boyets"
Sverdlovsk Region
OGRN: 1069659051076
TIN: 6659141477
Active
Profile views
449
+20 last week
Subscribers
0
+0 last week
OKVED2 80.10 Total: 4
Деятельность охранных служб, в том числе частных
Monitoring Notes Reports Contact information
51,68
mln ₽, 2024
Revenue
+₽11mln
Director
Tretiyakov Ivan Nikolaevich
100
Reliability Score
Director
Tretiyakov Ivan Nikolaevich
18
years
Established
April 20, 2006
City Yekaterinburg
51,68
mln ₽, 2024
Revenue
+₽11mln
21
Connections
+0 last week
16
Employees
-11 last year

Taxes & Levies

Paid taxes and levies

2023

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

2022

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

2021

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒
▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
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
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
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▒▒▒▒▒ ₽

2019

Taxes
Total amount: ▒▒▒▒▒ ₽
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Paid amount as of ▒▒.▒▒.2019
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2019
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
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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▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Other
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2018
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▒▒▒▒▒ ₽

2017

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