Регламент проверки контрагента в компании
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"YELTSIN CENTER"
OGRN: 1096600002091
TIN: 6670287889
Active
Profile views
+74
last week
Subscribers
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Company-related news
+17
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Research and experimental development on social sciences and humanities
Monitoring
Notes
Reports
Contact information
158,89
mln ₽, 2023
Revenue
+₽59mln
Executive officer
Drozdov Aleksandr Alekseevich
100
Reliability Score
Executive officer
Drozdov Aleksandr Alekseevich
15
years
Established
June 18, 2009
City Yekaterinburg
158,89
mln ₽, 2023
Revenue
+₽59mln
47
Connections
+0
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
8 cases (▒▒▒▒▒ ₽) | 2 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 4 cases (▒▒▒▒▒ ₽) won
- 1 case (▒▒▒▒▒ ₽) partially won
- 0 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) lost
- 0 cases (▒▒▒▒▒ ₽) partially lost
- 0 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (7)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (2)
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!
