Contractor profile

Icahn School of Medicine at Mount Sinai

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

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

prime recipient of federal awards · UEI C8H9CNG1VBD9 Source
$605.4M
Obligated
FY2026 · data still posting
8
Funding agencies
96%
From Health and Hum…
0%
Non-competed
4
States
100%
In New York
10
Industries

In FY2026, Icahn School of Medicine at Mount Sinai received $605.4M in federal awards from 8 agencies, 96% of it from the Department of Health and Human Services, with 100% of the work performed in New York. Across FY2020 to FY2026 its recorded total is $3.9B. FY2026 ended Sep 30 and its data is still posting. Computed

Where this money comes from

Source
FUNDING AGENCIES
ICAHN SCHOOL OF MEDICINE
HHS
$0.6B
7 other agencies
$0B
Icahn School of Medicine at Mount Sinai
$0.6B
FY2026 obligated
band width = obligations · FY2026 · source: USASpending.gov

Where the work lands

Source
New York$605.1M
Texas$6.4K

Key takeaways

Computed
FY2026 ended Sep 30 · data still posting · data as of 2026-11-01
  • Icahn School of Medicine at Mount Sinai received $605.4M in federal obligations in FY2026 (data still posting), compared with $606.3M in FY2025.
  • The Department of Health and Human Services accounted for 96% of it.
  • Its largest recorded assistance program was Aging Research, at $62.3M.
  • New York was its largest place of performance, with 99% of the work.

Obligations by year

Computed
$486.6M
FY20
$492M
FY21
$527.8M
FY22
$579.5M
FY23
$567.8M
FY24
$606.3M
FY25
$605.4M
FY26 partial
▲ 25%
FY20 to FY25

Awards

Source

Largest FY2026 awards

Awards that started in FY2026, by the amount obligated on each so far.

No award on record started in FY2026.

Competition

0%non-competed (often called no-bid), of $83M in contract obligations in FY2026Computed

This describes how contracts were awarded, not wrongdoing.

Similar federal contractors

Computed

Corporate family

Single registration: no combined family.

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.