Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Subscription required
Hidden information is available only to subscribed users. Purchase a subscription to get full access to the service.
Buy
Subscription required
Available with the 1-month and 1-year subscription.
INDEPENDENT NONCOMMERCIAL ORGANIZATION FOREIGN ECONOMIC ASSOCIATION "UNIVERSITY MIROVYKH TSIVILIZATSY NAMED AFTER V. V. ZHIRINOVSKOGO", INDEPENDENT NONCOMMERCIAL ORGANIZATION F...
OGRN: 1027739349329
TIN: 7708113420
Active. Last modified on: September 25, 2008
Profile views
+56
last week
Subscribers
+0
last week
Company-related news
+0
last week
Higher education
Monitoring
Notes
Reports
Contact information
291,29
mln ₽, 2023
Revenue
+₽31mln
Chancellor
Slobotchikov Oleg Nikolaevich
48
Reliability Score
Chancellor
Slobotchikov Oleg Nikolaevich
25
years
Established
March 31, 1999
City Moscow
291,29
mln ₽, 2023
Revenue
+₽31mln
31
Connections
+0
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
3 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
14 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
No cases as third party | |
|
✖
Other party
|
1 case (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) won
- 1 case (▒▒▒▒▒ ₽) partially won
- 2 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 6 cases (▒▒▒▒▒ ₽) lost
- 0 cases (▒▒▒▒▒ ₽) partially lost
- 1 case (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (3)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (14)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (1)
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!
