Data

Data and citation

Every chart on this site reads data.json. tools/export.py builds it from the study file results.json without changing any value. Both files are public.

Download results.json Site data (data.json)

Rows of black supercomputer cabinets with blue and green status lights in a white floored machine room at NASA Goddard.

Terms used here

Fiscal year (FY): The federal year, October to September. FY2026 ran from October 2025 to September 2026.
Obligation: A binding commitment of federal money on a contract action. Net obligations subtract money taken back (deobligations).
FPDS: The Federal Procurement Data System, the public system where agencies report their unclassified contract actions.
NAICS: North American Industry Classification System: the industry code on a contract.
PSC: Product and service code: what was bought. Code 18 is space vehicles; AR is space research and development.
IDV: Indefinite delivery vehicle: an umbrella contract that agencies place orders under.
HHI: Herfindahl Hirschman index, a score for how concentrated buying is, from 0 to 10000. A high score means a few agencies place most of the money.
OTA: Other transaction agreement: a flexible agreement outside the standard contract rules. OTAs are not reported to FPDS.

413,031

Unique contract actions in the study.

418,428

Raw records read from the FPDS feed, before the overlap between the NAICS and PSC queries was removed.

data.json adds three things to results.json and changes no value: the counts behind each share, recovered exactly from results.json; the citation fields; and the methods text. The dictionary below describes data.json. Shares are fractions from 0 to 1. Dollars are nominal: not adjusted for inflation. Other transaction agreements (OTAs), classified awards and grants are not in FPDS, so no figure here includes them.

Data dictionary

Field in data.json	Meaning
`source, study_date, version`	The study file the figures come from (results.json), the date the study was run, and the version label used in the citation.
`results_sha256`	SHA256 fingerprint of results.json, so a copy can be checked against the published one.
`reporting_lag_days`	The longest reporting lag for Department of Defense actions in FPDS, from the study limitations.
`raw_entries`	Records read from the feed across all slices, before removing duplicates.
`unique_actions`	Separate contract actions after removing duplicates by record kind, agency ID, contract number (PIID), modification number, transaction number and parent IDV contract number.
`headline`	The four home page figures. Each has path (where the value sits in results.json), format, label, definition, value, and n with n_label, the count shown beside it.
`full_scope, space_only`	The two views. Each holds overall (all years) and fy (one entry per fiscal year, keyed by year). In results.json the full scope sits at the top level and the space only view under space_only.
`actions`	Contract actions, new awards and modifications, signed in the period.
`awards`	New awards: actions with modification number 0 (new contracts, orders and IDVs).
`dollars`	Net obligations: the sum of obligatedAmount over all actions signed in the period, after deobligations, in nominal dollars.
`competed_reported`	New awards that report whether they were competed; the denominator of competed_share.
`competed_share`	Share of new contracts marked as open to competition (FPDS codes A, D, E, F or CDO). Fraction from 0 to 1.
`competed_with_offers`	Competed new awards that report an offer count; the denominator of single_offer_share.
`single_offer_share`	Share of those awards that received exactly one offer.
`top_agency`	Contracting sub tier agency with the largest positive net obligations.
`top1_share, top3_share`	Share of obligations placed by the top agency and by the top three, among agencies with positive net obligations. The home page and the demand page both use top1_share.
`nasa_share`	In overall for the space only view: NASA obligations over all net obligations, including agencies with negative totals. Kept for audit; the site shows top1_share.
`hhi`	A score for how concentrated buying is. A high score means a few agencies place most of the orders. Scale runs from 0 to 10000.
`entrant_award_share, entrant_dollar_share`	From FY2021: share of competed new awards, and of their dollars at award, won by companies whose first action in this dataset (which starts in FY2016) falls in the same year or the four before it. An upper bound. Null before FY2021.
`entrant_award_share_fy21_26, entrant_dollar_share_fy21_26`	The same shares pooled across FY2021 to FY2026.
`entrant_award_share_fy24_26, entrant_dollar_share_fy24_26`	Space only view: the same shares pooled across FY2024 to FY2026.
`psc_family_share`	Share of obligated dollars by product and service code group: 18 space vehicles, AR space research and development, other research and development (codes starting with A), other products (numeric codes), services (codes B to Z).
`pricing_share`	In overall: share of obligated dollars by contract pricing type. Small negative values come from net deobligations.
`vendors`	Distinct companies in the fiscal year. Each company is counted once, using its parent company ID (UEI, the federal unique entity identifier), then its own UEI, then its older DUNS number, then its name.
`multi_agency_vendors`	Companies with actions from two or more contracting sub tier agencies in the same fiscal year.
`multi_agency_dollar_share`	Obligations of those companies over all obligations in the fiscal year.
`multi_agency_dollar_share_fy_pooled`	The same share with numerators and denominators pooled across fiscal years.
`counts`	Added by tools/export.py: the counts behind each award share, recovered exactly from results.json and checked to be whole numbers. competed and entrant by year; competed_fy21_26, entrant_fy21_26, competed_fy24_26, entrant_fy24_26 pooled; dollars_fy16_25, the sum of the closed years.
`text`	The methods, limitations, space only definition, completeness lines and check script description, copied word for word from the study.
`refresh`	The rebuild steps, in order, naming each script.

Cite and reuse

Study run on 2026-10-14, version 2026-10-14. Figures for FY2026 will change at the next refresh, so cite the version and fingerprint.

QuantixMind, Inc. (2026). Frontier Market Observatory: Federal space demand, FY2016 to FY2026, version 2026-10-14 [data set]. https://space.quantixmind.com/data
data.json SHA256: 89a23020319a8e8170e1b3927aa5cca19325b0d3dabb905a57c797d43138ccce
results.json SHA256: caa8d6857c1a75424e7df0d3ce1d5c4c5355e04329d7e765a0671bdaef8b78ff

Reuse: you may quote, chart and republish these figures with the citation above. The underlying FPDS records are public. For other uses, research access, custom views or a briefing, write to karanvir.singh@quantixmind.com.