Критерии создания регламента проверки контрагентов
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ADMINISTRATION OEZ OF THE MAGADAN REGION
OGRN: 1024900956850
TIN: 4909077738
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OKVED2
84.11.21
Activity of public authorities of subjects of the Russian Federation (the republics, edges, areas), except judicial authority, representations of executive bodies of the government of subjects of the Russian Federation at the President Russian Federats
Monitoring
Notes
Reports
Contact information
Revenue
No data
CEO
Grebenyuk Sergei Nikolaevich
65
Reliability Score
CEO
Grebenyuk Sergei Nikolaevich
25
years
Established
July 5, 1999
City Magadan
Revenue
No data
1 028
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Employees
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Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
438 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
12 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
546 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
53 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 221 cases (▒▒▒▒▒ ₽) won
- 12 cases (▒▒▒▒▒ ₽) partially won
- 1 case (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒%
▒▒▒▒▒₽
- 10 cases (▒▒▒▒▒ ₽) lost
- 2 cases (▒▒▒▒▒ ₽) partially lost
- 10 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (438)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (12)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (546)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (53)
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!
