Federal agency

Pension Benefit Guaranty Corporation

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

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

Federal agency · top-tier · the money flowing out to recipients.

$4.4B
Obligated
FY2026 · data still posting
14
Recipients
684
Awards
1
Sub-agencies

In FY2026, the Pension Benefit Guaranty Corporation obligated $4.4B in federal awards to 14 recipients across 684 awards. Its largest recipient was Ufcw - Northern California Employers Joint Pension Plan, with 59% of the total. FY2026 ended Sep 30 and its data is still posting. Computed

Where this money goes

Source
PENSION BENEFIT GUARANTY
TOP RECIPIENTS
Pension Benefit Guaranty Corporation
$4.4B
FY2026 obligated
Ufcw -
$2.6B
Local 153
$0.2B
Bakery Drivers
$0.1B
Teamsters Local
$0.1B
Warehouse Employees
$0.1B
9 other recipients
$1.1B
band width = obligations · FY2026 · source: USASpending.gov

Recipient breakdown available for 81% of obligations shown

How it spends

awards by typeComputed
360loans
257contracts
38contract vehicles
29direct payments

Sub-agencies

Pension Benefit Guaranty Corporation$4.4B

Key takeaways

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

Obligations by year

Computed
$531.7M
FY20
$605.5M
FY21
$8.2B
FY22
$46.4B
FY23
$15B
FY24
$6.6B
FY25
$4.4B
FY26 partial
▲ 1144%
FY20 to FY25

Awards

Source

Largest FY2026 awards

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

No award on record started in FY2026.

Largest awards by total value

awarded 2024$136.5M
awarded 2020$130.5M
awarded 2015$69.6M

The agency’s biggest individual awards by total value, largest first.

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.