Agilent Technologies Inc.
Federal Contractor · Rank #1971
Spending by Agency
Recent Awards
| Description | Agency | Start Date | Amount |
|---|---|---|---|
| CHROMATOGRAPHY MAINTENANCE FORT MEADE | Department of Defense | Sep 1, 2022 | $9.6M |
| SERVICE AND MAINTENANCE AGREEMENT FOR AGILENT LABORATORY EQUIPMENT | Department of Health and Human Services | Mar 31, 2021 | $7.9M |
| DRUG TESTING AND DRUG DEMAND REDUCTION PROGRAM | Department of Defense | Sep 6, 2024 | $6.1M |
| TO FURTHER DEVELOP AND PROCURE BULK RESOLUTION TECHNOLOGY (BRT) UNITS TO SUPPORT RESEARCH AND DEVELOPMENT (R&D) AND TESTING REQUIREMENTS. | Department of Homeland Security | Sep 30, 2024 | $3.4M |
| GAS CHROMATOGRAPH (GC) AND GAS CHROMATOGRAPH-MASS SPECTROMETER (GC/MS) SYSTEMS FOR THE LABORATORY SYSTEM IN ACCORDANCE WITH BPA. 15DDHQ20A00000038 | Department of Justice | Aug 10, 2023 | $3.4M |
| TRIPLE QUAD MS, GC, LC, & Q-TOF SYSTEMS | Department of Health and Human Services | Sep 20, 2022 | $3.3M |
| THE PURPOSE OF THIS CONTRACT IS FOR THE TRANSPORTATION SECURITY ADMINISTRATION (TSA) TO SUPPLEMENT THE DEVELOPMENT OF A SOLUTION RELATED TO ALARM RESOLUTION (AR) OPERATIONS | Department of Homeland Security | Sep 30, 2021 | $3.2M |
| GC/MS SYSTEMS | Department of Justice | Sep 17, 2021 | $2.8M |
| DRUG DEMAND MATERIALS AND EQUIPMENT | Department of Defense | Sep 13, 2023 | $2.2M |
| MAINTENCE SERVICE FOR AGILENT ICP, GC AND LC-QQQ SYSTEMS | Department of the Interior | Feb 1, 2020 | $1.8M |
| TITLE: AGILENT TECHNOLOGIES - GC/MS - SFL2 - SFL8 REQUESTOR: JESSICA C LAWRENCE REF AWARD/BPA: 15DDHQ20A00000038 POP DATES: 09/15/2023 TO 09/14/2024 | Department of Justice | Sep 15, 2023 | $1.7M |
| EL- MAINTENANCE AGREEMENT; BASE + OPTION YEARS; GC, GC/MS, HPCL, LC/MS/MS ; AGILENT TECHNOLOGIES | Department of Agriculture | May 15, 2020 | $1.3M |
| AGILENT TECHNOLOGY MAINTENANCE SERVICES BASE + IV OPTION YEARS&SIX LC/GC COMPUTER SYSTEMS. | Department of Commerce | Sep 8, 2020 | $1.2M |
| AGILENT GAS CHROMATOGRAPHY AND MASS SPECTROMETRY EQUIPMENT. | Department of the Interior | Mar 8, 2023 | $1.2M |
| PREVENTATIVE MAINTENANCE & REPAIR - PHC | Department of Defense | Sep 26, 2022 | $1.1M |
| IMMUNOHISTO CHEMISTRY STAINER | Department of Defense | Jan 4, 2021 | $1.1M |
| PREVENTATIVE MAINTENANCE & REPAIR DEVCOM EML | Department of Defense | Dec 1, 2022 | $1.1M |
| PREVENTATIVE MAINTENANCE & REPAIR DEVCOM | Department of Defense | Sep 27, 2022 | $979K |
| MAINTENANCE SERVICE ON EXISTING AGILENT EQUIPMENT | Department of Health and Human Services | Aug 17, 2020 | $966K |
| 1 EACH ION-MOBILITY QUADRUPOLE TIME OF FLIGHT (IM-QTOF) MASS SPECTROMETER. | Department of Health and Human Services | May 3, 2023 | $835K |
All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.
Agilent Technologies Inc. Federal Contracts FAQ
Agilent Technologies Inc. has received $37,574,322 in total federal obligations across 25 awards and 25 contracts.
Agilent Technologies Inc. works with 7 federal agencies, including Department of Defense, Department of Health and Human Services, Department of Justice. The largest agency relationships are based on total dollar obligations.
Agilent Technologies Inc. has received federal awards in multiple states.
Agilent Technologies Inc. is ranked #1971 among the largest federal contractors by total obligation amount. Rankings are based on USASpending.gov data for FY2024.
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Spending figures represent total federal obligations for FY2024, as reported through USASpending.gov. Rankings are based on aggregate obligation amounts across all contract, grant, and direct payment awards.
For this entity, the underlying data on this page comes from USASpending.gov federal awards data. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.
Every number on this page links back to USASpending.gov federal awards data; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
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