Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
JSC "GAZPROM POWER TRADE TYUMEN"
Khanty-Mansi Autonomous District - Yugra
OGRN: 1058602102415
TIN: 8602067215
Active
Profile views
29,704
+28 last week
Subscribers
11
+0 last week
Company-related news
15
-1 last week
OKVED2 35.14 Total: 21
Trade of electricity
Monitoring Notes Reports Contact information
₽50,65
billion, 2024
Revenue
+₽825mln
CEO
Bychkova Tatiyana Valentinovna
92
Reliability Score
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CEO
Bychkova Tatiyana Valentinovna
19
years
Established
July 1, 2005
City Surgut
₽50,65
billion, 2024
Revenue
+₽825mln
22 033
Connections
+5 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
23653 cases (▒▒▒▒▒ ₽) 1843 cases (▒▒▒▒▒ ₽)
Defendant
332 cases (▒▒▒▒▒ ₽) 16 cases (▒▒▒▒▒ ₽)
Third party
771 cases (▒▒▒▒▒ ₽) 18 cases (▒▒▒▒▒ ₽)
Other party
1865 cases (▒▒▒▒▒ ₽) 291 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 8221 cases (▒▒▒▒▒ ₽) won
  • 785 cases (▒▒▒▒▒ ₽) partially won
  • 96 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒%

▒▒▒▒▒
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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒
  • 13660 cases (▒▒▒▒▒ ₽) - plaintiff
  • 148 cases (▒▒▒▒▒ ₽) - defendant

Type of dispute

%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
×
Claim amount
×
Type of dispute
×
Outcome of case
×

Current cases

As plaintiff (651)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As defendant (12)
Claims amount: ▒▒▒▒▒ ₽
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As third party (21)
Claims amount: ▒▒▒▒▒ ₽
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As other party (109)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (23002)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (320)
Claims amount: ▒▒▒▒▒ ₽
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As third party (750)
Claims amount: ▒▒▒▒▒ ₽
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As other party (1756)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Defendant
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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!

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