Spending Trends

SDVOSB Contract Spending Trends

SDVOSB Contract Spending Trends shows how federal contract spending changes across the visible time series in FPDS-derived procurement data.

The latest visible point is 2025 at 34.36.

Federal Contract Spending Spending Trends Spending Series Series

Updated 03/20/2026

Latest Period
2025
34.36
Visible Change
34.36
Peak Period
2024
34.91
Trend Direction
Up
Unknown

Analysis

The latest visible point is 2025 at 34.36.

Why it matters: Use this page to evaluate how federal contract spending levels shift over time and identify inflection points.

Methodology: The query returns a structured time series, detects a period column and a primary numeric metric, and computes visible-series statistics such as latest value, peak, low, and overall change.

Commentary

SDVOSB Contract Spending Trends tracks federal contract spending over time in FPDS-derived data.

Key takeaway: The latest visible point is 2025 at 34.36.

Analyst note: This page is best used for directional review, turning points, and quick comparison against related time windows or scopes.

Trend Chart

This chart plots Federal Contract Spending over the visible time series returned by the query.

Query Used

-- SDVOSB Contract Spending Trends
SELECT
    fiscal_year,
    round(sum(obligated_amount) / 1000000000, 2) AS spending_billion_usd,
    count() AS award_count,
    round(sum(obligated_amount) / count(), 0) AS avg_award_size
FROM
(
    SELECT
        if(
            toUInt8(substring(content__award__relevantContractDates__signedDate, 6, 2)) >= 10,
            toUInt16(substring(content__award__relevantContractDates__signedDate, 1, 4)) + 1,
            toUInt16(substring(content__award__relevantContractDates__signedDate, 1, 4))
        ) AS fiscal_year,
        content__award__dollarValues__obligatedAmount AS obligated_amount
    FROM fpds.data
    WHERE
        contract_type = 1
        AND content__award__relevantContractDates__signedDate != ''
        AND content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isServiceRelatedDisabledVeteranOwnedBusiness = 1
)
WHERE fiscal_year < toYear(today())
GROUP BY fiscal_year
ORDER BY fiscal_year ASC

Trend Table

This table shows the structured time series returned by the query.

Fiscal Year Spending Billion Usd Award Count Avg Award Size
1980 0.00 1 16000
1986 0.00 1 20688
1987 0.00 5 596375
1988 0.00 2 218708
1989 0.00 2 522475
1990 0.00 2 340210
1992 0.00 1 28000
1993 0.00 1 76000
1995 0.00 6 126500
1996 0.00 10 145551
1997 0.01 101 128799
1998 0.05 329 157926
1999 0.12 462 269539
2000 0.18 735 246942
2001 0.44 2156 206010
2002 0.86 3982 217794
2003 0.84 6476 130644
2004 1.30 20801 62756
2005 2.00 28854 69387
2006 3.28 53067 61925
2007 4.44 82488 53840
2008 7.20 114932 62721
2009 9.58 83907 114249
2010 11.96 100593 118915
2011 12.72 102445 124222
2012 13.78 101585 135725
2013 13.29 92187 144232
2014 14.55 99631 146074
2015 15.06 120929 124554
2016 17.34 139303 124527
2017 19.19 151089 127012
2018 22.17 158776 139681
2019 23.39 188431 124142
2020 25.84 194446 132938
2021 27.12 192376 140986
2022 29.67 186970 158732
2023 34.07 188011 181246
2024 34.91 193757 180214
2025 34.36 212226 161928

How This Trend Is Built

Measure how a selected procurement metric changes across time.

Query structure

  • The query selects a time dimension used as the x-axis for the trend.
  • It calculates or returns a numeric metric for each visible period.
  • The result is interpreted as a chronological series for trend analysis.
  • The metric focuses on obligated dollars or a directly related spending aggregate.

Included fields

  • fiscal_year — Defines the chronological unit used for the trend series.
  • spending_billion_usd — Defines the main value plotted and analyzed over time.
  • award_count — Provides additional numeric context that can support interpretation.
  • avg_award_size — Provides additional numeric context that can support interpretation.

How to use this trend

  • trend direction analysis
  • time-series review
  • federal procurement timing analysis
  • spending trajectory review
  • budget pattern review

Computed Metrics

Series Points
39
First Visible Point
1980
Mean
9.74
Median
3.28
Max
34.91
2024
Min
0.00
1980
Volatility
11.49
11.49
Rows Returned
39

Series Extremes

Largest Increase
4.4
2022 → 2023 · 14.83%
Largest Decrease
-0.55
2024 → 2025 · -1.58%

Related Pages

Method Notes

  • Trend interpretation is based on the returned query result set ordered by the detected period column.
  • Change metrics compare the first visible point and the latest visible point in the series.
  • Volatility is based on the standard deviation of the visible numeric series.

Use FPDS Query for deeper trend analysis

Go beyond the published time series with custom SQL, broader filters, saved queries, and deeper procurement analysis across agencies, vendors, industries, states, contract structures, and competitive segments.

Continue from this trend page into full FPDS Query workflows with deeper filtering, custom SQL, saved queries, and broader market comparison.