Критерии создания регламента проверки контрагентов
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DEVELOPMENT FUND INDUSTRIES
Moscow
OGRN: 1037700080615
TIN: 7710172832
Active. Last modified on: May 26, 2008
Profile views
6,423
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1
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Company-related news
794
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OKVED2 84.13 Total: 23
Regulation of and contribution to more efficient operation of businesses
Monitoring Notes Reports Contact information
847
k ₽, 2011
Revenue
₽-1mln
Director
Petrutsa Roman Vasilyevich
97
Reliability Score
99
Ranking position
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Director
Petrutsa Roman Vasilyevich
29
years
Established
January 19, 1996
City Moscow
847
k ₽, 2011
Revenue
₽-1mln
3 912
Connections
-1 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
233 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Defendant
18 cases (▒▒▒▒▒ ₽) 1 case (▒▒▒▒▒ ₽)
Third party
60 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Other party
37 cases (▒▒▒▒▒ ₽) 2 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 79 cases (▒▒▒▒▒ ₽) won
  • 10 cases (▒▒▒▒▒ ₽) partially won
  • 6 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒%

▒▒▒▒▒
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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

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

Current cases

As plaintiff (20)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (1)
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As third party (12)
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As other party (15)
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Completed cases

As plaintiff (213)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (17)
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As third party (48)
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As other party (22)
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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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