Критерии создания регламента проверки контрагентов
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FEDERAL STATE-FUNDED EDUCATIONAL INSTITUTION FOREIGN ECONOMIC ASSOCIATION "YUGO-ZAPADNY STATE UNIVERSITY", SOUTHWEST STATE UNIVERSITY, FEDERAL STATE-FUNDED EDUCATIONAL INSTITUT...
OGRN: 1034637015786
TIN: 4629029058
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Chancellor
Yemeliyanov Sergei Gennadievich
88
Reliability Score
Chancellor
Yemeliyanov Sergei Gennadievich
30
years
Established
December 21, 1994
City Kursk
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Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
23 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
20 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Third party
|
12 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
63 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 4 cases (▒▒▒▒▒ ₽) won
- 1 case (▒▒▒▒▒ ₽) partially won
- 7 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 2 cases (▒▒▒▒▒ ₽) lost
- 3 cases (▒▒▒▒▒ ₽) partially lost
- 2 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (23)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (20)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (12)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (63)
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!
