Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
LLC publishing house "Pokrov PRO"
Moscow
OGRN: 1137746150101
TIN: 7722800859
Active
Profile views
154
+29 last week
Subscribers
0
+0 last week
OKVED2 58.11 Total: 31
Book publishing
Monitoring Notes Reports Contact information
4,9
mln ₽, 2024
Revenue
+₽2mln
CEO
Lazareva Raisa Sergeevna
77
Reliability Score
CEO
Lazareva Raisa Sergeevna
12
years
Established
February 21, 2013
City Moscow
4,9
mln ₽, 2024
Revenue
+₽2mln
16
Connections
+0 last week
2
Employees
-3 last year

Balance Sheets

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Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
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Net profit (loss): ▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
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Net profit (loss): ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒

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Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒ ▒▒▒▒ ▒▒▒▒ ▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒

Balance sheet
Balance: ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
Income statement
Net profit (loss): ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒ ▒▒▒▒▒

Data sources Forms of financial reports are 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 Forms of financial reports are 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!