Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
LLC "LSR. Nedvizhimost-SZ"
Saint Petersburg
OGRN: 1027810227884
TIN: 7826090547
In the process of reorganization since March 14, 2025
Profile views
6,158
+52 last week
Subscribers
3
+0 last week
Company-related news
3
+-0 last week
OKVED2 71.12.2 Total: 11
Activity of the customer builder, general contractor
Monitoring Notes Reports Contact information
₽76,56
billion, 2024
Revenue
+₽7 billion
CEO
Mikhalchenko Olga Valeryevna
77
Reliability Score
JavaScript chart by amCharts 3.21.1
CEO
Mikhalchenko Olga Valeryevna
23
years
Established
August 20, 2001
City Saint Petersburg
₽76,56
billion, 2024
Revenue
+₽7 billion
880
Connections
+0 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
104 cases (▒▒▒▒▒ ₽) 8 cases (▒▒▒▒▒ ₽)
Defendant
101 cases (▒▒▒▒▒ ₽) 13 cases (▒▒▒▒▒ ₽)
Third party
45 cases (▒▒▒▒▒ ₽) 5 cases (▒▒▒▒▒ ₽)
Other party
13 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 29 cases (▒▒▒▒▒ ₽) won
  • 16 cases (▒▒▒▒▒ ₽) partially won
  • 16 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

▒▒▒▒▒
JavaScript chart by amCharts 3.21.1

Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

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

Current cases

As plaintiff (4)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Plaintiff
Defendant
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As defendant (10)
Claims amount: ▒▒▒▒▒ ₽
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As third party (4)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As other party (2)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (100)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
Defendant
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As defendant (91)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As third party (41)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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Plaintiff
Defendant
Instance
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As other party (11)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim 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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