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JSC "ENERGOSERVISNAYA COMPANY LENENERGO"
OGRN: 1117847478715
TIN: 7810846884
Active
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Company-related news
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Construction of utility projects for electricity and telecommunications
Monitoring
Notes
Reports
Contact information
492,02
mln ₽, 2023
Revenue
₽-138mln
Acting CEO
Petrov Aleksei Viktorovich
100
Reliability Score
Acting CEO
Petrov Aleksei Viktorovich
13
years
Established
November 8, 2011
City Saint Petersburg
492,02
mln ₽, 2023
Revenue
₽-138mln
757
Connections
+0
last week
157
Employees
+0
last year
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
190 cases (▒▒▒▒▒ ₽) | 4 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
159 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
19 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
8 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 65 cases (▒▒▒▒▒ ₽) won
- 30 cases (▒▒▒▒▒ ₽) partially won
- 17 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 41 cases (▒▒▒▒▒ ₽) lost
- 15 cases (▒▒▒▒▒ ₽) partially lost
- 20 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (188)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (159)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (19)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (8)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
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!
