AMERICAN BATTLE MONUMENTS COMMISSION leads this ranking at 7.4K. The top 10 account for 100.00% of the value in this result set, indicating a very high concentration pattern.
Agencies
Agencies Increasing Spending
Agencies Increasing Spending shows which federal agencies rank highest by Primary Metric in FPDS-based procurement data.
Top Entity
AMERICAN BATTLE MONUMENTS COMMISSION
7.4K
Rows Returned
1
Top 10 Share
100.00%
Very High concentration
Ranking Metric
Primary Metric
Top Agencies
Analysis
AMERICAN BATTLE MONUMENTS COMMISSION leads this ranking at 7.4K. The top 10 account for 100.00% of the value in this result set, indicating a very high concentration pattern.
Why it matters: Use this page to identify leaders, compare major participants, and understand how activity is distributed across this segment of the federal market.
Methodology: The query groups FPDS records by the ranked entity, calculates the main metric, and orders results from highest to lowest. Supporting columns add context to the leaderboard.
Key Findings
- AMERICAN BATTLE MONUMENTS COMMISSION holds the top position.
- The top 10 account for 100.00% of the value in this result set.
Limitations
- Interpretation depends on the SQL scope and selected filters.
- This page reflects only the returned query result set.
Query Used
-- Agencies Increasing Spending (Year-over-Year)
WITH current_year AS (
SELECT
content__award__purchaserInformation__contractingOfficeAgencyID AS agency_id,
anyHeavy(content__award__purchaserInformation__contractingOfficeAgencyID__name) AS agency_name,
sum(content__award__dollarValues__obligatedAmount) AS total_current
FROM fpds.data
WHERE
contract_type = 1
AND content__award__purchaserInformation__contractingOfficeAgencyID IS NOT NULL
AND content__award__relevantContractDates__signedDate IS NOT NULL
AND content__award__relevantContractDates__signedDate != ''
AND toYear(parseDateTimeBestEffort(content__award__relevantContractDates__signedDate)) = toYear(now())
GROUP BY content__award__purchaserInformation__contractingOfficeAgencyID
),
previous_year AS (
SELECT
content__award__purchaserInformation__contractingOfficeAgencyID AS agency_id,
sum(content__award__dollarValues__obligatedAmount) AS total_previous
FROM fpds.data
WHERE
contract_type = 1
AND content__award__purchaserInformation__contractingOfficeAgencyID IS NOT NULL
AND content__award__relevantContractDates__signedDate IS NOT NULL
AND content__award__relevantContractDates__signedDate != ''
AND toYear(parseDateTimeBestEffort(content__award__relevantContractDates__signedDate)) = toYear(now()) - 1
GROUP BY content__award__purchaserInformation__contractingOfficeAgencyID
)
SELECT
c.agency_id,
c.agency_name,
c.total_current,
formatReadableQuantity(c.total_current) AS total_current_readable,
p.total_previous,
formatReadableQuantity(p.total_previous) AS total_previous_readable,
(c.total_current - p.total_previous) AS growth_absolute,
formatReadableQuantity(c.total_current - p.total_previous) AS growth_absolute_readable,
(c.total_current - p.total_previous) / nullIf(p.total_previous, 0) AS growth_rate
FROM current_year c
INNER JOIN previous_year p
ON c.agency_id = p.agency_id
WHERE
p.total_previous > 0
AND c.total_current > p.total_previous
ORDER BY growth_rate DESC
LIMIT 100Ranking Table
This table ranks results by Primary Metric from highest to lowest.
| # | Agency Id | Agency Name | Total Current | Total Current Readable | Total Previous | Total Previous Readable | Growth Absolute | Growth Absolute Readable | Growth Rate |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 7,400.00 | AMERICAN BATTLE MONUMENTS COMMISSION | 861248.16 | 861.25 thousand | 200000 | 200.00 thousand | 661248.16 | 661.25 thousand | 3.3 |
How This Ranking Is Built
Build a ranked FPDS view for "Agencies Increasing Spending" using aggregated procurement data.
Query structure
- Results are sorted from highest to lowest by the main ranking metric.
- Grouping is used to combine FPDS records into comparable entity-level results.
Included fields
- agency_name — Defines the ranked agency.
- agency_id — Defines the main ranking metric: Primary Metric.
- total_current — Adds supporting context to the leaderboard.
- total_previous — Adds supporting context to the leaderboard.
- growth_absolute — Adds supporting context to the leaderboard.
- growth_rate — Adds supporting context to the leaderboard.
How to use this ranking
- Supports fast market review.
- Helps compare leaders and close competitors.
- Adds context beyond a raw transaction list.
Computed Metrics
Top 3 Share
100.00%
Top 5 Share
100.00%
Mean
7,400.00
Median
7,400.00
Max
7,400.00
Min
7,400.00
Concentration
Very High
Fragmentation
Very Low
Top Entities
| # | Entity | Value |
|---|---|---|
| 1 | AMERICAN BATTLE MONUMENTS COMMISSION | 7.4K |
Related Pages
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