Physical Optics Corporation
Federal Contractor · Rank #1628
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Spending by Agency
Recent Awards
| Description | Agency | Start Date | Amount |
|---|---|---|---|
| T-45 HUD PRODUCTION UNITS | Department of Defense | Jun 12, 2023 | $70.9M |
| RESEARCH AND DEVELOPMENT JARVIS | Department of Defense | Jul 10, 2018 | $55.6M |
| NON-RECURRING ENGINEERING (NRE) DVMC-U | Department of Defense | Jun 29, 2022 | $34.8M |
| HUD PRODUCTION NRE | Department of Defense | Apr 29, 2020 | $28.4M |
| PHYSICAL OPTICS CORP - SBIR PHASE III | Department of Defense | Jul 1, 2019 | $10.2M |
| 873AUTHORITY ,THE CONTRACTOR SHALL PROVIDE ENGINEERING FOR F-16 MISSION COMPUTING EXECUTABLE FUNCTIONS ON JARVIS (JOINT AVIONICS RECONFIGURABLE INFORMATION SYSTEM) HARDWARE. | Department of Defense | Sep 28, 2020 | $8.8M |
| 2023 UNIT PRICE- P/N 4705-01000-15-102 | Department of Defense | Aug 1, 2023 | $5.7M |
| 2023 UNIT PRICE- P/N 4705-01000-15-102 | Department of Defense | Mar 31, 2023 | $4.5M |
| FUNDING IN SUPPORT OF CLIN 0001 | Department of Defense | Sep 28, 2021 | $4.5M |
| H1 ADTS HARDWARE | Department of Defense | Apr 20, 2022 | $4.2M |
| RIF-2018-000074/ HQ0642921813 | Department of Defense | Jun 18, 2019 | $2.9M |
| 2023 UNIT PRICE- P/N 4705-01000-15-102 | Department of Defense | Jul 11, 2023 | $1.8M |
| NEW DO TO PROCURE OBOGS GGU-25 PRODUCTION A KITS CONTRACT #: N00019-21-G-0006. | Department of Defense | Sep 19, 2022 | $1.7M |
| 2022 UNIT PRICE - P/N 4705-01000-15-102 | Department of Defense | Aug 30, 2022 | $1.7M |
| ENGINEERING AND TECHNICAL SERVICES | Department of Defense | Jul 29, 2021 | $1.6M |
| APN-5 PROGRAM ENGINEERING NRE | Department of Defense | Apr 15, 2022 | $1.5M |
| NON-RECURRING ENGINEERING (NRE)AND QUALIFICATION OF UH-1Y DSP INVERTERS | Department of Defense | Mar 9, 2020 | $1.3M |
| IGF::OT::IGF ARMY SBIR PHASE II A2-6762 TOPIC A16-053 SECURE, MINIATURE, ALGORITHM-ENHANCED LOW-POWER LOW-PROFILE PHOTOPLETHYSMOGRAM PATCH ERMS 17172004 | Department of Defense | May 14, 2018 | $974K |
| SBIR 11.2 PHASE II PHYSICAL OPTICS WEB-BASED INTELLIGENT SYMBOLOGY EXTRACTION BASED ON CONTEXT (WISEC) SYSTEM | Department of the Interior | Sep 14, 2012 | $750K |
| 2023 UNIT PRICE- P/N 4705-01000-15-102 | Department of Defense | Aug 23, 2023 | $421K |
All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.
Physical Optics Corporation Federal Contracts FAQ
Physical Optics Corporation has received $45,706,922 in total federal obligations across 25 awards and 25 contracts.
Physical Optics Corporation works with 2 federal agencies, including Department of Defense, Department of the Interior. The largest agency relationships are based on total dollar obligations.
Physical Optics Corporation has received federal awards in multiple states.
Physical Optics Corporation is ranked #1628 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.
The methodology behind every numeric value on this page is publicly documented on the USASpending.gov federal awards data portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. federal contracts, grants, and awards. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.