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Details
GMU OF FSSP OF THE RUSSIAN FEDERATION
Moscow
OGRN: 1227700435270
TIN: 9703098444
Active
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OKVED2 84.11.11
Activities of federal public authorities, except the plenipotentiaries of president of the russian federation and territorial bodies of federal executive authorities
Monitoring Notes Reports Contact information
100
Reliability Score
CEO
Zamorodskikh Sergei Grigorievich
2
years
Established
July 21, 2022
City Moscow
Revenue
No data
7 888
Connections
+799 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
542 cases (▒▒▒▒▒ ₽) 407 cases (▒▒▒▒▒ ₽)
Defendant
2088 cases (▒▒▒▒▒ ₽) 1242 cases (▒▒▒▒▒ ₽)
Third party
749 cases (▒▒▒▒▒ ₽) 400 cases (▒▒▒▒▒ ₽)
Other party
544 cases (▒▒▒▒▒ ₽) 323 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
JavaScript chart by amCharts 3.21.1
  • 85 cases (▒▒▒▒▒ ₽) won
  • 1 case (▒▒▒▒▒ ₽) partially won
  • 502 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

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JavaScript chart by amCharts 3.21.1

Under consideration — ▒▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

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

Current cases

As plaintiff (229)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As defendant (560)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Defendant
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As third party (210)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As other party (162)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Plaintiff
Defendant
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Completed cases

As plaintiff (313)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As defendant (1528)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Defendant
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As third party (539)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
Object
Plaintiff
Defendant
Instance
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As other party (382)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
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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