US federal vendor contracting intelligence, annual

Commercial use OKFreshLicense: CC0-1.0

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Per-vendor US federal prime-contract portfolio value, FY2025 vs FY2026: top-500 vendors per fiscal year by obligated dollars (award types A/B/C/D), UEI-keyed, with year-over-year portfolio growth, size tiers, new-entrant/dropout flags, and a documented 0-100 momentum score. Built from the keyless USAspending spending_by_category API (U.S. public domain). One row per vendor (UEI); join on uei or vendor_name. Amounts are AWARD FACE VALUE — the sum of total obligated amounts of the vendor's awards active in the window — not window-incremental spend. Caveats: competition (competed-share) metrics are not available at recipient-aggregate level; missing-year obligations are NULL (not zero); amounts may be negative (net deobligations).

Source: USAspending Federal Contracts Intelligence
Rows: 562
Columns: 17
Source cadence: Yearly
Last refreshed: Sep 30, 2026
Theme: government

Column	Type	Description
uei	string	SAM.gov Unique Entity Identifier — the vendor's stable business key. Primary key of this panel.
vendor_name	string	Vendor legal name as reported by USAspending for the recipient aggregate (FY2026 name preferred).
duns_code	string	Legacy DUNS number for the vendor aggregate, where the API still returns one.
country_code	string	ISO alpha-3 country code; constant USA (U.S. federal contractors).
fiscal_year_prev	integer	Previous fiscal year of the comparison (2025).
fiscal_year_cur	integer	Current fiscal year of the comparison (2026).
as_of	string	ISO date the snapshot was built; FY2026 window ends here.
fy2025_obligated_usd	float	Prime-contract portfolio value, FY2025: sum of total obligated amounts of the vendor's award-type A/B/C/D awards having >= 1 transaction in 2024-10-01 -> 2025-09-30 (award face value, NOT FY-incremental spend). NULL when the vendor was outside the FY2025 top-500. (unit: USD)
fy2026_obligated_usd	float	Prime-contract portfolio value, FY2026: sum of total obligated amounts of the vendor's award-type A/B/C/D awards having >= 1 transaction in 2025-10-01 -> as-of date (award face value, NOT window-incremental spend). NULL when the vendor was outside the FY2026 top-500. (unit: USD)
yoy_growth_rate	float	Prime-contract portfolio growth: (fy2026 - fy2025) / fy2025 on award-face-value obligations; NULL for new entrants and dropouts. May be negative (net deobligations). (unit: ratio)
vendor_rank_fy2026	integer	Rank by FY2026 obligations within the panel (1 = largest); NULL for dropouts.
obligation_share_fy2026	float	Vendor FY2026 obligations / panel FY2026 total. (unit: share)
vendor_tier	string	mega (rank <= 10), large (<= 100), mid (<= 500), exiting (FY2025-only vendor).
new_entrant_flag	integer	1 when the vendor is in the FY2026 top-500 but not the FY2025 top-500.
dropout_flag	integer	1 when the vendor is in the FY2025 top-500 but not the FY2026 top-500.
momentum_score	float	0-100 composite for vendors present both years: 100 * (0.5 * percentile-rank(yoy_growth_rate) + 0.5 * percentile-rank(fy2026_obligated_usd)). (unit: 0-100)
row_hash	string	Deterministic 16-hex SHA256 over (uei, rounded amounts); identical input always yields identical hashes.

First 10 sample rows — a preview, not the complete dataset.

uei	vendor_name	duns_code	country_code	fiscal_year_prev	fiscal_year_cur	as_of	fy2025_obligated_usd	fy2026_obligated_usd	yoy_growth_rate	vendor_rank_fy2026	obligation_share_fy2026	vendor_tier	momentum_score	row_hash
G4KDGE4JFFK7	LOCKHEED MARTIN CORPORATION	008016958	USA	2,025	2,026	2026-09-30	290,070,208,272.01	215,893,400,481.23	-0.256	1	0.066	mega	61.1	bd9d5f37a2ab4190
E7BEKJ4V9528	ELECTRIC BOAT CORPORATION	963737366	USA	2,025	2,026	2026-09-30	139,572,631,688.05	129,905,991,513.25	-0.069	2	0.039	mega	78.9	6179dc3c8c590752
FYHNA5WC8XD7	LOCKHEED MARTIN CORP	926784042	USA	2,025	2,026	2026-09-30	86,910,657,663.43	86,454,939,299.26	-0.005	3	0.026	mega	85.7	861dfe0c77a7c26d
WZWRLY4G3PL8	THE BOEING COMPANY	039267141	USA	2,025	2,026	2026-09-30	86,272,488,846.92	80,459,580,978.26	-0.067	4	0.024	mega	79.1	c093cc515417a374
VTEWM5QSE598	RAYTHEON COMPANY	794598573	USA	2,025	2,026	2026-09-30	82,828,151,326.44	76,568,947,400.13	-0.076	5	0.023	mega	77.9	f24e443f89495a59
XFJMYSYFJEK4	LOCKHEED MARTIN CORPORATION	794571448	USA	2,025	2,026	2026-09-30	76,613,078,742.49	75,486,034,196.76	-0.015	6	0.023	mega	84.1	aec0bd9b56edecbe
JJM4FRDZJDX1	THE BOEING COMPANY	149879157	USA	2,025	2,026	2026-09-30	73,317,420,005.88	69,268,298,320.61	-0.055	7	0.021	mega	80	ea543c92d564f472
ZE6ZM6NKSV43	HUMANA GOVERNMENT BUSINESS INC	805349198	USA	2,025	2,026	2026-09-30	81,091,866,221.25	60,640,739,124.72	-0.252	8	0.018	mega	60.4	468e22207e4f5796
WMXDDH6HJNA5	HUNTINGTON INGALLS INC	001307495	USA	2,025	2,026	2026-09-30	62,489,528,763.9	57,840,145,755.69	-0.074	9	0.018	mega	77.7	ab1c05d009a927fe
UTJWTSLMFNG4	SIKORSKY AIRCRAFT CORPORATION	835551474	USA	2,025	2,026	2026-09-30	54,958,045,279.15	53,606,262,924.11	-0.025	10	0.016	mega	82.5	2eb29d4cd2c54e59

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/us_federal_contracts_intel/us_federal_vendor_contracts_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/us_federal_contracts_intel/us_federal_vendor_contracts_annual").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/us_federal_contracts_intel/us_federal_vendor_contracts_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260930T055725Z-e75531b95e91 and its content hash, so readers get exactly the data you used.

APA

USAspending Federal Contracts Intelligence. (2026). US federal vendor contracting intelligence, annual [Data set, snapshot 20260930T055725Z-e75531b95e91, sha256 e75531b95e91]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/us_federal_contracts_intel/us_federal_vendor_contracts_annual?snapshot=20260930T055725Z-e75531b95e91

BibTeX

@misc{dz_us_federal_contracts_intel_us_federal_ve_e75531b9,
  title        = {{US federal vendor contracting intelligence, annual}},
  author       = {{USAspending Federal Contracts Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/us_federal_contracts_intel/us_federal_vendor_contracts_annual?snapshot=20260930T055725Z-e75531b95e91}},
  note         = {Snapshot 20260930T055725Z-e75531b95e91, sha256 e75531b95e9176d2b8decdfa10b5b53cbc5c4885b8edaec2c9c1dc87b1bc02d6; accessed 2026-09-30}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=us_federal_contracts_intel%2Fus_federal_vendor_contracts_annual&lang=en&theme=auto&snapshot=20260930T055725Z-e75531b95e91&x=fiscal_year_prev&y=fiscal_year_prev&agg=avg" title="US federal vendor contracting intelligence, annual" width="100%" height="380" style="border:0" loading="lazy"></iframe>

US federal vendor contracting intelligence, annual

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key