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Details
LLC "CENTER ADDIKTOLOGII V. GOTLIB"
Moscow
OGRN: 1207700038468
TIN: 9709059160
Active
Profile views
108
+1 last week
Subscribers
0
+0 last week
OKVED2 86.10 Total: 11
Hospital activities
Monitoring Notes Reports Contact information
66,16
mln ₽, 2024
Revenue
+₽7mln
CEO
Gotlib Veronika Yakovlevna
25
Reliability Score
CEO
Gotlib Veronika Yakovlevna
5
years
Established
February 3, 2020
City Moscow
66,16
mln ₽, 2024
Revenue
+₽7mln
5
Connections
+0 last week
27
Employees
+8 last year

Taxes & Levies

Paid taxes and levies

2023

Taxes
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Paid amount as of ▒▒.▒▒.2023
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▒▒▒▒▒ ₽
Contributions
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Other
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Name
Paid amount as of ▒▒.▒▒.2023
▒▒▒▒▒ ▒▒▒▒▒
▒▒▒▒▒ ₽

2022

Taxes
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Paid amount as of ▒▒.▒▒.2022
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▒▒▒▒▒ ₽
Contributions
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Paid amount as of ▒▒.▒▒.2022
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▒▒▒▒▒ ₽
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
▒▒▒▒▒ ₽

2021

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2021
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▒▒▒▒▒ ₽
Contributions
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Name
Paid amount as of ▒▒.▒▒.2021
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▒▒▒▒▒ ₽
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒ ▒▒▒ ▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒
▒▒▒▒▒ ₽

2020

Taxes
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
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▒▒▒▒▒ ₽
Contributions
Total amount: ▒▒▒▒▒ ₽
Name
Paid amount as of ▒▒.▒▒.2020
▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒ ▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒
▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
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▒▒▒▒▒ ₽
Data sources Information on paid taxes and fees 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 on paid taxes and fees 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!