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STATE INDEPENDENT INSTITUTION NOVOSIBIRSK REGION RESEARCH AND PRODUCTION CENTER
OGRN: 1025402487770
TIN: 5406015529
Active. Last modified on: April 30, 2010
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Company-related news
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Operation of historical sites and buildings and similar visitor attractions
Monitoring
Notes
Reports
Contact information
51,22
mln ₽, 2010
Revenue
+₽51mln
Chief
Vorotnikova Yuliya Vyacheslavovna
100
Reliability Score
Chief
Vorotnikova Yuliya Vyacheslavovna
29
years
Established
July 6, 1995
City Novosibirsk
51,22
mln ₽, 2010
Revenue
+₽51mln
534
Connections
+0
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
144 cases (▒▒▒▒▒ ₽) | 2 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
8 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
22 cases (▒▒▒▒▒ ₽) | 3 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 22 cases (▒▒▒▒▒ ₽) won
- 8 cases (▒▒▒▒▒ ₽) partially won
- 0 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) lost
- 2 cases (▒▒▒▒▒ ₽) partially lost
- 0 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As third party (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (144)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (8)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (20)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other 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!
