Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
City Administration of Novosibirsk city
Novosibirsk Region
OGRN: 1045402490100
TIN: 5406285846
Active
Profile views
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Company-related news
684
-11 last week
OKVED2 84.11.3
Activities of local government bodies for general questions management
Monitoring Notes Reports Contact information
100
Reliability Score
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Mayor
Kudryavtsev Maksim Georgievich
20
years
Established
July 13, 2004
City Novosibirsk
Revenue
No data
19 290
Connections
+33 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
8434 cases (▒▒▒▒▒ ₽) 772 cases (▒▒▒▒▒ ₽)
Defendant
4907 cases (▒▒▒▒▒ ₽) 302 cases (▒▒▒▒▒ ₽)
Third party
1547 cases (▒▒▒▒▒ ₽) 129 cases (▒▒▒▒▒ ₽)
Other party
540 cases (▒▒▒▒▒ ₽) 20 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 1821 cases (▒▒▒▒▒ ₽) won
  • 799 cases (▒▒▒▒▒ ₽) partially won
  • 711 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
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  • 1378 cases (▒▒▒▒▒ ₽) lost
  • 191 cases (▒▒▒▒▒ ₽) partially lost
  • 466 cases (▒▒▒▒▒ ₽) not won

Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒
  • 4945 cases (▒▒▒▒▒ ₽) - plaintiff
  • 2473 cases (▒▒▒▒▒ ₽) - defendant

Type of dispute

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

Current cases

As plaintiff (401)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (156)
Claims amount: ▒▒▒▒▒ ₽
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As third party (77)
Claims amount: ▒▒▒▒▒ ₽
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As other party (23)
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Completed cases

As plaintiff (8033)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (4751)
Claims amount: ▒▒▒▒▒ ₽
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As third party (1470)
Claims amount: ▒▒▒▒▒ ₽
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As other party (517)
Claims amount: ▒▒▒▒▒ ₽
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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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