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Todas

List of 2.1 millones from purchase, empresas, proveedores, material médico, artículos de consumo, ropa y telas, medicinas y vacunas, mobiliario, instituciones públicas, funcionarios in 40 geographic areas.

MATCUR, S.A. DE C.V.

Supplier in 2,383 purchase(s) for a total of 421 millones (421,025,886.99 )

Supplier in 462 contract(s) for a total of 592.6 millones (592,557,079.774 )

PROVEEDORA INTEGRAL DE EMPRESAS SA DE CV

Supplier in 61 purchase(s) for a total of 29.3 millones (29,285,035.74 )

Supplier in 194 contract(s) for a total of 591.1 millones (591,064,513.885 )

DROGUERIA Y FARMACIA EL GLOBO SA DE CV

Supplier in 2,054 purchase(s) for a total of 289.7 millones (289,660,138.81 )

Supplier in 661 contract(s) for a total of 590.9 millones (590,866,318.023 )

MEDICA D S.A. DE C.V.

Supplier in 4 purchase(s) for a total of 142,025

Supplier in 89 contract(s) for a total of 589.9 millones (589,895,989.34 )

PEGINTERFERÓN ALFA

46 purchases (240,227 units) for a total of 626.7 millones pesos mexicanos (626,722,816.05 MXN) between 2009 and 2015

Average price : 2,608.9 pesos mexicanos

Solución Inyectable. Cada frasco ámpula ó jeringa ó pluma precargada contiene: Peginterferón alfa-2a 180 µg

PIOGLITAZONA

914 purchases (6.5 millones units) for a total of 625.2 millones pesos mexicanos (625,194,065.82 MXN) between 2009 and 2012

Average price : 96.1 pesos mexicanos

PIOGLITAZONA, TABLETA. CADA TABLETA CONTIENE: CLORHIDRATO DE PIOGLITAZONA EQUIVALENTE A 15 MG DE PIOGLITAZONA.

TRIADA CONSULTORES, S. A. DE C. V.

Supplier in 1 purchase(s) for a total of 8.1 millones (8,062,260.26 )

Supplier in 49 contract(s) for a total of 583.6 millones (583,599,828.31 )

ELEVADORES SCHINDLER SA DE CV

Supplier in 233 purchase(s) for a total of 92.8 millones (92,773,343.58 )

Supplier in 1,087 contract(s) for a total of 583.3 millones (583,272,677.022 )

MANUFACTURAS POST FORM SA DE CV

Supplier in 17 purchase(s) for a total of 2.9 millones (2,917,614.64 )

Supplier in 214 contract(s) for a total of 583.1 millones (583,087,611.293 )

VANGENT MÉXICO, S.A. DE C.V.

Supplier in 3 purchase(s) for a total of 155.6 millones (155,628,056.5 )

Supplier in 9 contract(s) for a total of 581 millones (580,989,956.888 )

DEFLAZACORT

81 purchases (4.8 millones units) for a total of 619.2 millones pesos mexicanos (619,216,622.24 MXN) between 2012 and 2018

Average price : 127.9 pesos mexicanos

Tableta. Cada tableta contiene: deflazacort 6 mg

BMC SOFTWARE DISTRIBUTION DE MEXICO SA DE CV

Supplier in 4 purchase(s) for a total of 139.5 millones (139,460,901.08 )

Supplier in 50 contract(s) for a total of 579.4 millones (579,359,218.14 )

INSULINA LISPRO LISPRO PROTAMINA

985 purchases (2.1 millones units) for a total of 617.8 millones pesos mexicanos (617,832,400.95 MXN) between 2009 and 2017

Average price : 299.2 pesos mexicanos

Suspensión Inyectable. Cada ml contiene: Insulina lispro (origen ADN recombinante) 25 UI Insulina lispro protamina (origen ADN recombinante) 75 UI

SANITY INTERNACIONAL SA DE CV

Supplier in 2 purchase(s) for a total of 2.8 millones (2,846,285.04 )

Supplier in 89 contract(s) for a total of 578.1 millones (578,087,423.512 )

EDICIONES DEL NORTE SA DE CV

Supplier in 1 purchase(s) for a total of 25,237

Supplier in 1,326 contract(s) for a total of 577.7 millones (577,658,574.317 )

ALCOHOLES Y MELAZAS DE MEXICO SA DE CV

Supplier in 2 purchase(s) for a total of 283,513.9

Supplier in 598 contract(s) for a total of 576.6 millones (576,631,081.75 )

LAB TECH INSTRUMENTACION SA DE CV

Supplier in 8 purchase(s) for a total of 213,069.4

Supplier in 2,070 contract(s) for a total of 576.2 millones (576,160,855.928 )

FARMACEUTICO EMPRESARIAL MARTINEZ SA DE CV

Supplier in 3,267 purchase(s) for a total of 72.7 millones (72,720,006.85 )

Supplier in 336 contract(s) for a total of 574.8 millones (574,801,440.581 )

COSMOCOLOR SA DE CV

Supplier in 1 purchase(s) for a total of 14.9 millones (14,851,754.92 )

Supplier in 33 contract(s) for a total of 572.2 millones (572,245,564.46 )

CONSTRUCTORA JAN SA DE CV

Supplier in 4 purchase(s) for a total of 33.1 millones (33,097,219.53 )

Supplier in 51 contract(s) for a total of 571.9 millones (571,934,934.34 )

LATE CONSTRUCCIONES, S. A. DE C. V.

Supplier in 1 purchase(s) for a total of 1.8 millones (1,785,264.11 )

Supplier in 106 contract(s) for a total of 571.3 millones (571,307,737.11 )

INDALJIM SA DE CV

Supplier in 846 purchase(s) for a total of 418.1 millones (418,107,067.45 )

Supplier in 545 contract(s) for a total of 571.1 millones (571,135,346.25 )

SERRAL SA DE CV

Supplier in 1,413 purchase(s) for a total of 101.5 millones (101,501,642.46 )

Supplier in 494 contract(s) for a total of 569.6 millones (569,642,608.87 )

LEUPRORELINA

88 purchases (197,623 units) for a total of 606.4 millones pesos mexicanos (606,429,473.84 MXN) between 2012 and 2019

Average price : 3,068.6 pesos mexicanos

Suspensión Inyectable. El frasco ámpula contiene: Acetato de leuprorelina 11.25 mg

POLAR HOSPITALARIA SA DE CV

Supplier in 19 purchase(s) for a total of 2.1 millones (2,144,118.79 )

Supplier in 45 contract(s) for a total of 568.3 millones (568,317,284.28 )

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RESULTS PER PAGE

Sources of the results:

comprasimss : 2.1 millones
cbmei : 20,033
CompraNet (Plus) : 9,400
CompraNet 3.0 : 6,310
Portal de Obligaciones de Transparencia (POT) : 6,085
Torre de Control : 28
SICOP (Costa Rica) : 3
Mujeres en la Bolsa 2020 : 2
Mujeres en la Bolsa 2019 : 1

At QuiénEsQuién.Wiki we use data provided by government and stock market entities, or data that has been thoroughly investigated by Civil Society Organizations. You can find more information about our sources here.

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.

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        data <- fromJSON(file="http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=675&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        response = urllib2.urlopen('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=675&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv')   

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

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        df = pd.read_json('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=675&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv')