Критерии создания регламента проверки контрагентов
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Center for scientific research "Kurchatovsky higher education institution"
OGRN: 1027739576006
TIN: 7734111035
Active. Last modified on: October 11, 2024
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Revenue
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President
Kovalchuk Mikhail Valentinovich
74
Reliability Score
President
Kovalchuk Mikhail Valentinovich
32
years
Established
September 24, 1992
City Moscow
Revenue
No data
4 546
Connections
+14
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
216 cases (▒▒▒▒▒ ₽) | 15 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
137 cases (▒▒▒▒▒ ₽) | 18 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
58 cases (▒▒▒▒▒ ₽) | 9 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
17 cases (▒▒▒▒▒ ₽) | 3 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 99 cases (▒▒▒▒▒ ₽) won
- 23 cases (▒▒▒▒▒ ₽) partially won
- 43 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 34 cases (▒▒▒▒▒ ₽) lost
- 24 cases (▒▒▒▒▒ ₽) partially lost
- 22 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (9)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (7)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (9)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (3)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (207)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (130)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (49)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (14)
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!
