Nova Technologies an Employee-owned Engineering Company
Federal Contractor · Rank #935
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Spending by Agency
Recent Awards
| Description | Agency | Start Date | Amount |
|---|---|---|---|
| C130-J MAINTENANCE AND AIRCREW TRAINING SYSTEM | Department of Defense | Jan 8, 2020 | $324.3M |
| KC-10 TRAINING SYSTEMS OPERATIONS, MAINTENANCE & SUSTAINMENT | Department of Defense | Jul 1, 2021 | $119.3M |
| FY18 MPSE SOMPE SUPPORT IGF::CL,CT::IGF | Department of Defense | Dec 8, 2017 | $16.5M |
| B-52 TRAINING SYSTEMS CLS AND TSSC | Department of Defense | Aug 1, 2024 | $9.5M |
All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.
Nova Technologies an Employee-owned Engineering Company Federal Contracts FAQ
Nova Technologies an Employee-owned Engineering Company has received $81,016,793 in total federal obligations across 4 awards and 4 contracts.
Nova Technologies an Employee-owned Engineering Company works with 1 federal agencies, including Department of Defense. The largest agency relationships are based on total dollar obligations.
Nova Technologies an Employee-owned Engineering Company has received federal awards in multiple states.
Nova Technologies an Employee-owned Engineering Company is ranked #935 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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