Критерии создания регламента проверки контрагентов
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GLAVUPDK AT MINISTRY OF FOREIGN AFFAIRS OF THE RUSSIAN FEDERATION
OGRN: 1027700347840
TIN: 7704010978
Active
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Renting and operating of own or leased real estate
Monitoring
Notes
Reports
Contact information
₽14,09
billion, 2024
Revenue
+₽1 billion
Chief
Fatin Vyacheslav Nikolaevich
45
Reliability Score
Chief
Fatin Vyacheslav Nikolaevich
30
years
Established
August 15, 1994
City Moscow
₽14,09
billion, 2024
Revenue
+₽1 billion
4 963
Connections
+2
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
386 cases (▒▒▒▒▒ ₽) | 23 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
87 cases (▒▒▒▒▒ ₽) | 5 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
24 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
13 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 253 cases (▒▒▒▒▒ ₽) won
- 14 cases (▒▒▒▒▒ ₽) partially won
- 33 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 20 cases (▒▒▒▒▒ ₽) lost
- 10 cases (▒▒▒▒▒ ₽) partially lost
- 33 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (13)
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 other party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (373)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (85)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (24)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (12)
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!
