Регламент проверки контрагента в компании
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Details
PJSC "PKK "ENERGIYA"
Moscow Region
OGRN: 1025002032538
TIN: 5018033937
Active. Last modified on: July 13, 2023
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Other research and experimental development on natural sciences and engineering
Monitoring Notes Reports Contact information
₽36,57
billion, 2019
Revenue
+₽6 billion
CEO
Ozar Igor Yakovlevich
100
Reliability Score
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CEO
Ozar Igor Yakovlevich
30
years
Established
June 6, 1994
City Korolyov
₽36,57
billion, 2019
Revenue
+₽6 billion
1 373
Connections
-3 last week
Employees
No data

Litigation

Learn more

Stats Over Time

Participation Total number of cases For the last year
Plaintiff
344 cases (▒▒▒▒▒ ₽) 8 cases (▒▒▒▒▒ ₽)
Defendant
235 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Third party
52 cases (▒▒▒▒▒ ₽) 1 case (▒▒▒▒▒ ₽)
Other party
13 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 152 cases (▒▒▒▒▒ ₽) won
  • 46 cases (▒▒▒▒▒ ₽) partially won
  • 59 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

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

Current cases

As plaintiff (5)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As defendant (5)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As third party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As other party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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Completed cases

As plaintiff (339)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As defendant (230)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As third party (51)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As other party (12)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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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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