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Регламент проверки контрагента в компании
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Lomonosov Moscow State University
OGRN: 1037700258694
TIN: 7729082090
Active. Last modified on: June 8, 2018
Profile views
+77
last week
Subscribers
+1
last week
Company-related news
+95
last week
Higher education
Monitoring
Notes
Reports
Contact information
81,97
mln ₽, 2001
Revenue
+₽82mln
Chancellor
Sadovnichy Viktor Antonovich
100
Reliability Score
67
Ranking position
Chancellor
Sadovnichy Viktor Antonovich
26
years
Established
December 30, 1998
City Moscow
81,97
mln ₽, 2001
Revenue
+₽82mln
8 383
Connections
+18
last week
Employees
No data
Foreign trade
Products (1)
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Currencies used in FEA
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General information
List of customs brokers
No data on brokers for this year
Banks servicing FEA
No data on banks for this year
Total number of declarations
No data on number of declarations for this year
Total number of foreign counterparties
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General information
List of customs brokers
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Banks servicing FEA
No data on banks for this year
Total number of declarations
No data on number of declarations for this year
Total number of foreign counterparties
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Statistics by months, tons
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Types of transportation
No data by type of transportation for this year
Currencies used in FEA
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General information
List of customs brokers
No data on brokers for this year
Banks servicing FEA
No data on banks for this year
Total number of declarations
No data on number of declarations for this year
Total number of foreign counterparties
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Statistics by months, tons
Statistics by month, USD
Types of transportation
No data by type of transportation for this year
Currencies used in FEA
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General information
List of customs brokers
No data on brokers for this year
Banks servicing FEA
No data on banks for this year
Total number of declarations
No data on number of declarations for this year
Total number of foreign counterparties
No data on total number of counterparties for this year
Statistics by months, tons
Statistics by month, USD
Types of transportation
No data by type of transportation for this year
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Data sources
Information about external economic activity of companies 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.
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