Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
Ministry of Finance of the Russian Federation
Moscow
OGRN: 1037739085636
TIN: 7710168360
Active. Last modified on: June 21, 2007
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Company-related news
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OKVED2 84.11.4
Financial management and activity in the taxation sphere
Monitoring Notes Reports Contact information
98
Reliability Score
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Minister
Siluanov Anton Germanovich
25
years
Established
January 19, 2000
City Moscow
Revenue
No data
47 051
Connections
+27 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
1158 cases (▒▒▒▒▒ ₽) 27 cases (▒▒▒▒▒ ₽)
Defendant
15253 cases (▒▒▒▒▒ ₽) 273 cases (▒▒▒▒▒ ₽)
Third party
8298 cases (▒▒▒▒▒ ₽) 145 cases (▒▒▒▒▒ ₽)
Other party
1455 cases (▒▒▒▒▒ ₽) 36 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 235 cases (▒▒▒▒▒ ₽) won
  • 84 cases (▒▒▒▒▒ ₽) partially won
  • 2276 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
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  • 2999 cases (▒▒▒▒▒ ₽) lost
  • 1218 cases (▒▒▒▒▒ ₽) partially lost
  • 134 cases (▒▒▒▒▒ ₽) not won

Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒
  • 693 cases (▒▒▒▒▒ ₽) - plaintiff
  • 8628 cases (▒▒▒▒▒ ₽) - defendant

Type of dispute

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

Current cases

As plaintiff (21)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (123)
Claims amount: ▒▒▒▒▒ ₽
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As third party (151)
Claims amount: ▒▒▒▒▒ ₽
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As other party (38)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (1137)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
Defendant
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As defendant (15130)
Claims amount: ▒▒▒▒▒ ₽
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As third party (8147)
Claims amount: ▒▒▒▒▒ ₽
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Defendant
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As other party (1417)
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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