Регламент проверки контрагента в компании
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Details
JSC "DOM.RF"
Moscow
OGRN: 1027700262270
TIN: 7729355614
Active. Last modified on: August 17, 2021
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Company-related news
1,033
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OKVED2 64.99 Total: 3
Other financial service activities, except insurance and pension funding n.e.c.
Monitoring Notes Reports Contact information
18
Reliability Score
149
Ranking position
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CEO
Mutko Vitaly Leontievich
27
years
Established
September 5, 1997
City Moscow
₽34,3
billion, 2016
Revenue
+₽2 billion
17 211
Connections
-34 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
2896 cases (▒▒▒▒▒ ₽) 473 cases (▒▒▒▒▒ ₽)
Defendant
1090 cases (▒▒▒▒▒ ₽) 132 cases (▒▒▒▒▒ ₽)
Third party
774 cases (▒▒▒▒▒ ₽) 99 cases (▒▒▒▒▒ ₽)
Other party
843 cases (▒▒▒▒▒ ₽) 154 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 1336 cases (▒▒▒▒▒ ₽) won
  • 251 cases (▒▒▒▒▒ ₽) partially won
  • 226 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒
  • 1005 cases (▒▒▒▒▒ ₽) - plaintiff
  • 435 cases (▒▒▒▒▒ ₽) - defendant

Type of dispute

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

Current cases

As plaintiff (165)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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As defendant (59)
Claims amount: ▒▒▒▒▒ ₽
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As third party (47)
Claims amount: ▒▒▒▒▒ ₽
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As other party (24)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (2731)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As defendant (1031)
Claims amount: ▒▒▒▒▒ ₽
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Defendant
Instance
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As third party (727)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
Defendant
Instance
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As other party (819)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Plaintiff
Defendant
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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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