Регламент проверки контрагента в компании
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Inspectorate of the federal tax service of the Russian Federation on of the Megion city of the autonomous district Khanty-Mansi Autonomous Okrug - Yugra
OGRN: 1048602903656
TIN: 8605001808
Activity ceased on December 29, 2012
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OKVED
75.11.13
Activity of territorial bodies of federal executive authorities in cities and regions of subjects of the Russian Federation
Monitoring
Notes
Reports
Contact information
Revenue
No data
Acting chief
Soplakova Yelena Iosifovna
Acting chief
Soplakova Yelena Iosifovna
8
years
Established
December 20, 2004
City Megion
Revenue
No data
1 049
Connections
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Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
225 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
163 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
42 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
443 cases (▒▒▒▒▒ ₽) | 5 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 69 cases (▒▒▒▒▒ ₽) won
- 14 cases (▒▒▒▒▒ ₽) partially won
- 25 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 78 cases (▒▒▒▒▒ ₽) lost
- 17 cases (▒▒▒▒▒ ₽) partially lost
- 26 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (225)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (163)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (42)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (443)
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!
