Let me know when the data is updated again

Company in México

PRELIM S.A. DE C.V.

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

Summary of contract activity as supplier

56 contract as supplier for a total of 12.2 millones (12,159,390.938 ) between 2008 and 2022.

Annual evolution of contract

Procedure type

Main entities

Gerencia Metropolitana Norte ( from Liconsa, S.A. de C.V. )

Adquisiciones y Servicios Generales ( from Liconsa, S.A. de C.V. )

GERENCIA METROPOLITANO NORTE ( from LICONSA S.A. DE C.V. )

Largest contract

ADQUISICIÓN DE PRODUCTO PARA LIMPIEZA DESENGRASANTE BIODEGRADABLE

ADQUISICIÓN DE PRODUCTOS QUÍMICOS

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Alternative names

PRELIM S.A DE C.V.

Entity type

profit

Identifiers

RFC: PRE9903241C9

Date updated in QQW

24 de enero de 2019

Source(s)

CompraNet (Plus) , CompraNet 3.0 , Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

R (json)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=prelim-sa-de-cv")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=prelim-sa-de-cv')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=prelim-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

PRELIM S.A. DE C.V.

Summary of contract activity as supplier

Annual evolution of contract

Procedure type

Main entities

Largest contract

Location

GENERAL INFORMATION

Import and use data

Customize cookie preferences