What is REGAN TECHNOLOGIES CORP's total federal contract obligation value?

Between 2018 and 2026, REGAN TECHNOLOGIES CORP captured $152,118,623 in obligated federal funds across prime contract awards and delivery orders.

What is REGAN TECHNOLOGIES CORP's recompete retention win rate?

REGAN TECHNOLOGIES CORP holds a historical recompete retention rate of 87.3%, reflecting its competitive win rate on incumbent recompete task orders.

What are REGAN TECHNOLOGIES CORP's SAM.gov identifiers?

REGAN TECHNOLOGIES CORP is registered under Unique Entity Identifier (UEI) PJ2BS3KYWKS5 and CAGE Code 85601. Primary NAICS code: 541519 (Federal Services).

Federal Prime Contractor Profile

Large Enterprise Prime

REGAN TECHNOLOGIES CORP

Washington, CT 06457

SAM.gov UEI: PJ2BS3KYWKS5
CAGE Code: 85601
Primary NAICS: 541519
Headquarters: Washington, CT
Enterprise Tier: Large Enterprise
Recompete Moat: 87.3%

REGAN TECHNOLOGIES CORP is a federal contractor providing Federal Services to departments including the Department of Veterans Affairs.

Executive Summary

Verified SAM.gov & FPDS Data

Between 2018 and 2026, REGAN TECHNOLOGIES CORP captured $152.1M across federal task orders and definitive prime awards, recording $53.2M in trailing 12-month obligations. Its primary federal customer is the Department of Veterans Affairs (63% of total obligations), while maintaining an overall historical recompete retention rate of 87.3% with an average award cycle of 53 days.

•Top Agency: Department of Veterans Affairs (63% share)

•Recompete Retention: 87.3%

•Average Award Cycle: 53 Days

•Primary Industry: NAICS 541519 (Federal Services)

•Active Task Orders: 2

•Competition Profile: 2.7 avg bidders

Behavioral Intelligence ProfileCross-Platform Audit

Systemores Public Behavior Directory

Tier 2: Competitive Stable

Recompete Moat Strength

87.3%win retention

Standard recompete defense rate across federal task orders.

Competition Index

2.7avg bids / award

Low-competition anomaly; high vehicle exclusivity & incumbency.

Agency Capture Risk

HIGHexposure tier

Vulnerable to single-agency budget shifts & leadership pivots.

Synced with public behavioral benchmarks & corporate governance audits.

View on Systemores Public Behavior Directory

Lifetime Federal Obligations

$152.1M

Cumulative prime contract awards

Trailing 12-Month Spend

$53.2M

Recent annualized award velocity

Recompete Retention Rate

87.3%

Historical recompete win rate

Average Award Cycle

53 Days

RFP release to definitive award

Prime vs. Sub Ratio

91% Prime

9% Subcontractor work

Average Bid Competition

2.7 Bidders

Average competing offers received

Head-to-Head Competitor Comparisons

Compare win rates, obligations, and agency penetration against major peers.

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Matchup

REGAN TECHNOLOGIES CORP vs. LOCKHEED MARTIN CORPORATION

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Matchup

REGAN TECHNOLOGIES CORP vs. THE BOEING COMPANY

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Matchup

REGAN TECHNOLOGIES CORP vs. LOCKHEED MARTIN CORP

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Agency Contracting Breakdown

Historical performance, award volumes, and recompete retention by federal agency.

VAView Award History

REGAN TECHNOLOGIES CORP × Department of Veterans Affairs

$95,826,508 obligated across 1 task orders

DoDView Award History

REGAN TECHNOLOGIES CORP × Department of Defense

$56,292,115 obligated across 1 task orders

USAExplore Agency Hub

Department of the Army

Federal department procurement budget & active vendor directory.

Major Prime Contract Awards & Vehicles

Active definitive awards and delivery orders recorded in federal procurement databases.

Award PIID / Vehicle	Awarding Agency	Competition Type	Period of Performance	Obligated Amount
No direct awards on record for this contractor in the sample batch.

Cite this Intelligence Dataset (GEO & Academic Format)

GovMatrix Intelligence. (2026). REGAN TECHNOLOGIES CORP Federal Procurement & Award Analytics Profile. Systemores LLC. Retrieved from https://gov.systemores.com/contractors/regan-technologies-corp

Verified public procurement records synthesized from USAspending and SAM.gov. Suitable for capture management reports, federal equity research, and AI citation anchors.