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MINTSIFRA OF THE RUSSIAN FEDERATION
Moscow
OGRN: 1047702026701
TIN: 7710474375
Active
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Company-related news
2,133
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OKVED2 84.13
Regulation of and contribution to more efficient operation of businesses
Monitoring Notes Reports Contact information
86
Reliability Score
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Minister
Shadaev Maksut Igorevich
20
years
Established
July 12, 2004
City Moscow
Revenue
No data
5 254
Connections
+153 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
661 cases (▒▒▒▒▒ ₽) 231 cases (▒▒▒▒▒ ₽)
Defendant
278 cases (▒▒▒▒▒ ₽) 46 cases (▒▒▒▒▒ ₽)
Third party
386 cases (▒▒▒▒▒ ₽) 28 cases (▒▒▒▒▒ ₽)
Other party
212 cases (▒▒▒▒▒ ₽) 24 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 135 cases (▒▒▒▒▒ ₽) won
  • 76 cases (▒▒▒▒▒ ₽) partially won
  • 92 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

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Under consideration — ▒▒%

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Undefined — ▒▒%

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Type of dispute

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

Current cases

As plaintiff (85)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (24)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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As third party (35)
Claims amount: ▒▒▒▒▒ ₽
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As other party (28)
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Completed cases

As plaintiff (576)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
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As defendant (254)
Claims amount: ▒▒▒▒▒ ₽
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As third party (351)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
Defendant
Instance
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As other party (184)
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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