Регламент проверки контрагента в компании
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Details
JSC FPC
Moscow
OGRN: 1097746772738
TIN: 7708709686
Active
Profile views
64,326
+228 last week
Subscribers
31
+0 last week
Company-related news
131
+7 last week
OKVED2 49.10.1 Total: 44
Transportation of passengers by rail in the long-distance message
Monitoring Notes Reports Contact information
₽372,88
billion, 2024
Revenue
+₽57 billion
CEO
Pyastolov Vladimir Gennadyevich
89
Reliability Score
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CEO
Pyastolov Vladimir Gennadyevich
15
years
Established
December 3, 2009
City Moscow
₽372,88
billion, 2024
Revenue
+₽57 billion
12 773
Connections
-10 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
10215 cases (▒▒▒▒▒ ₽) 911 cases (▒▒▒▒▒ ₽)
Defendant
1303 cases (▒▒▒▒▒ ₽) 215 cases (▒▒▒▒▒ ₽)
Third party
354 cases (▒▒▒▒▒ ₽) 20 cases (▒▒▒▒▒ ₽)
Other party
203 cases (▒▒▒▒▒ ₽) 12 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 4075 cases (▒▒▒▒▒ ₽) won
  • 1981 cases (▒▒▒▒▒ ₽) partially won
  • 180 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
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  • 369 cases (▒▒▒▒▒ ₽) lost
  • 145 cases (▒▒▒▒▒ ₽) partially lost
  • 767 cases (▒▒▒▒▒ ₽) not won

Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒
  • 3034 cases (▒▒▒▒▒ ₽) - plaintiff
  • 475 cases (▒▒▒▒▒ ₽) - defendant

Type of dispute

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

Current cases

As plaintiff (361)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
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Defendant
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As defendant (131)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As third party (17)
Claims amount: ▒▒▒▒▒ ₽
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As other party (14)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (9854)
Claims amount: ▒▒▒▒▒ ₽
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Defendant
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As defendant (1172)
Claims amount: ▒▒▒▒▒ ₽
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As third party (337)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Plaintiff
Defendant
Instance
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As other party (189)
Claims amount: ▒▒▒▒▒ ₽
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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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