USA Compression Partners, LP: gross property, plant and equipment

Name: USA Compression Partners, LP: gross property, plant and equipment
Creator: USA Compression Partners, LP

Gross property, plant and equipment for USA Compression Partners, LP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All USA Compression Partners, LP financial histories

What this measure means

Cost of property, plant and equipment before accumulated depreciation. Historical cost does not indicate current value or replacement cost.

Exact concept: us-gaap:PropertyPlantAndEquipmentGross. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2012-12-31 to 2019-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Gross property, plant and equipment in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
At date	2019-12-31	3,491,123,000	USD	2020-02-18	10-K · 0001522727-20-000005
At date	2018-12-31	3,343,024,000	USD	2020-02-18	10-K · 0001522727-20-000005
At date	2017-12-31	1,882,795,000	USD	2019-02-19	10-K · 0001558370-19-000738
At date	2016-12-31	1,595,547,000	USD	2018-02-13	10-K · 0001558370-18-000600
At date	2015-12-31	1,563,442,000	USD	2017-02-13	10-K · 0001558370-17-000559
At date	2014-12-31	1,342,636,000	USD	2016-02-11	10-K · 0001558370-16-003160
At date	2013-12-31	969,757,000	USD	2015-02-19	10-K · 0001558370-15-000104
At date	2012-12-31	678,142,000	USD	2014-02-20	10-K · 0001104659-14-011834

Related financial histories

Inspect the source

Entity: USA Compression Partners, LP / CIK 0001522727
Captured: 2026-09-20T09:14:46.718Z
SEC response SHA-256: 9c743d9a514e286264eed49b0544f2ae7ef62717283c562bdd5fa1c3cf463948

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001522727.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))