Регламент проверки контрагента в компании
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Details
SC Rostec
Moscow
OGRN: 1077799030847
TIN: 7704274402
Active
Profile views
51,060
+81 last week
Subscribers
28
+0 last week
Company-related news
1,513
-317 last week
OKVED2 64.99 Total: 8
Other financial service activities, except insurance and pension funding n.e.c.
Monitoring Notes Reports Contact information
88
Reliability Score
40
Ranking position
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CEO
Chemezov Sergei Viktorovich
17
years
Established
December 3, 2007
City Moscow
₽2,83
billion, 2017
Revenue
₽-67 billion
6 993
Connections
+2 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
124 cases (▒▒▒▒▒ ₽) 1 case (▒▒▒▒▒ ₽)
Defendant
78 cases (▒▒▒▒▒ ₽) 2 cases (▒▒▒▒▒ ₽)
Third party
424 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Other party
130 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 40 cases (▒▒▒▒▒ ₽) won
  • 5 cases (▒▒▒▒▒ ₽) partially won
  • 25 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 (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As third party (8)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As other party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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Completed cases

As plaintiff (123)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As defendant (78)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As third party (416)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As other party (129)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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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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