Регламент проверки контрагента в компании
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JSC "FARMATSIYA"
OGRN: 1077203001138
TIN: 7202157342
Active. Last modified on: January 9, 2008
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Wholesale of pharmaceutical goods
Monitoring
Notes
Reports
Contact information
₽1,61
billion, 2023
Revenue
+₽16mln
CEO
Drozdova Tatiyana Leonidovna
65
Reliability Score
CEO
Drozdova Tatiyana Leonidovna
18
years
Established
January 15, 2007
City Tyumen
₽1,61
billion, 2023
Revenue
+₽16mln
476
Connections
-2
last week
507
Employees
+0
last year
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
70 cases (▒▒▒▒▒ ₽) | 5 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
51 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
7 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒%
▒▒▒▒▒₽
- 3 cases (▒▒▒▒▒ ₽) won
- 2 cases (▒▒▒▒▒ ₽) partially won
- 3 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) lost
- 1 case (▒▒▒▒▒ ₽) partially lost
- 0 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (69)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (51)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (6)
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!
