Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
MP "KALININGRADTEPLOSET"
Kaliningrad Region
OGRN: 1023901007008
TIN: 3903003375
Active. Last modified on: January 26, 2012
Profile views
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Company-related news
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OKVED2 35.30 Total: 34
Manufacture and distribution of steam and hot water; air conditioning supply
Monitoring Notes Reports Contact information
₽3,87
billion, 2023
Revenue
+₽191mln
Director
Orlov Andrei Vladimirovich
91
Reliability Score
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Director
Orlov Andrei Vladimirovich
22
years
Established
May 29, 2002
City Kaliningrad
₽3,87
billion, 2023
Revenue
+₽191mln
6 619
Connections
+3 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
3124 cases (▒▒▒▒▒ ₽) 89 cases (▒▒▒▒▒ ₽)
Defendant
269 cases (▒▒▒▒▒ ₽) 4 cases (▒▒▒▒▒ ₽)
Third party
157 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Other party
158 cases (▒▒▒▒▒ ₽) 7 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 1470 cases (▒▒▒▒▒ ₽) won
  • 434 cases (▒▒▒▒▒ ₽) partially won
  • 64 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒%

▒▒▒▒▒
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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
×
Claim amount
×
Type of dispute
×
Outcome of case
×

Current cases

As plaintiff (35)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As defendant (7)
Claims amount: ▒▒▒▒▒ ₽
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As third party (5)
Claims amount: ▒▒▒▒▒ ₽
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As other party (1)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (3089)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (262)
Claims amount: ▒▒▒▒▒ ₽
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As third party (152)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
Defendant
Instance
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As other party (157)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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Data sources Information about company arbitration cases 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 about company arbitration cases 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!

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