Регламент проверки контрагента в компании
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LLC "PUBLISHING HOUSE "VOLGOGRADSKAYA PRAVDA"
OGRN: 1153443013790
TIN: 3444252870
Active
Profile views
+18
last week
Subscribers
+0
last week
Company-related news
-41
last week
Publishing of newspapers
Monitoring
Notes
Reports
Contact information
46,65
mln ₽, 2023
Revenue
₽-45k
CEO
Golod Yekaterina Valentinovna
27
Reliability Score
120
Ranking position
CEO
Golod Yekaterina Valentinovna
9
years
Established
May 26, 2015
City Volgograd
46,65
mln ₽, 2023
Revenue
₽-45k
88
Connections
+0
last week
78
Employees
+0
last year
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
14 cases (▒▒▒▒▒ ₽) | 2 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
12 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
2 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 6 cases (▒▒▒▒▒ ₽) won
- 4 cases (▒▒▒▒▒ ₽) partially won
- 3 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 2 cases (▒▒▒▒▒ ₽) lost
- 3 cases (▒▒▒▒▒ ₽) partially lost
- 0 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (14)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (12)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third 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!
