Congressional district

New York's 26th District

Where federal work lands. Inferred district figures are inferred from place-of-performance addresses.

FY2026 ended Sep 30 · data still posting · data as of 2026-11-01†

† DoD contract data posts to USAspending about 90 days after award.

Part of New York

$813.3M
Work performed here
FY2026 · data still posting
14
Recipients
The Research Foundation for the State U…
Top recipient

In FY2026, federal awards worth $813.3M were performed in NY-26, New York's 26th District, by 14 recipients. The largest recipient with work in the district was The Research Foundation for the State University of New York, at $127.4M. Its figures are inferred from place-of-performance addresses, and the district is represented by Timothy M. Kennedy (D). FY2026 ended Sep 30 and its data is still posting. Inferred

Obligations by year

Computed
$902.5M
FY20
$1.5B
FY21
$857.2M
FY22
$945.5M
FY23
$854.1M
FY24
$888.7M
FY25
$813.3M
FY26 partial
▼ 2%
FY20 to FY25

Top federal award recipients with work here

The Research Foundation for the State University of New York$127.4M
Bryant & Stratton College, Inc.$124.9M
Health Research, Inc.$44.1M
Northrop Grumman Systems Corp$12M
Lockheed Martin Corporation$4.6M
Charter Communications Operating LLC$2.6M
Great Hill Solutions, LLC$2.1M
Department of Environmental Conservation New York$1.4M
Crown Castle Fiber LLC$1.2M
State University of New York$1M

Recipient breakdown available for 39% of obligations shown

Inferred inferred from each recipient’s place-of-performance in this district: the recipients we track, not every organization here.

Representation

Spending here is geographic context, not funding directed by these members.

Related

Why the labels? The graph is only worth anything if the links are trusted. Facts taken straight from a federal filing are Source; figures we calculate are Computed; links we infer (corporate parents, districts, similar contractors, connections between records) are Inferred, worded carefully, never asserted as fact and never a claim that one thing caused another. Spot an error? Tell us.