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MRC GLOBAL INC.: long-term debt

Long-term debt for MRC GLOBAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MRC GLOBAL INC. financial histories

What this measure means

Long-term borrowings under this concept, which can include the current portion depending on presentation. It is not total liabilities and may exclude leases and other obligations.

Exact concept: us-gaap:LongTermDebt. 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 2011-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Long-term debt in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2024-12-31387,000,000USD2025-03-1410-K · 0001437749-25-007707
At date2023-12-31301,000,000USD2025-03-1410-K · 0001437749-25-007707
At date2022-12-31340,000,000USD2024-02-1610-K · 0001437749-24-004511
At date2021-12-31297,000,000USD2023-02-1410-K · 0001437749-23-003314
At date2020-12-31383,000,000USD2022-02-1610-K · 0001437749-22-003524
At date2019-12-31551,000,000USD2021-02-1210-K · 0001437749-21-002784
At date2018-12-31684,000,000USD2020-02-1410-K · 0001439095-20-000015
At date2017-12-31526,000,000USD2019-02-1510-K · 0001439095-19-000012
At date2016-12-31414,000,000USD2018-02-1610-K · 0001439095-18-000010
At date2015-12-31519,000,000USD2017-02-1710-K · 0001439095-17-000008
At date2014-12-311,453,644,000USD2016-02-2410-K · 0001439095-16-000041
At date2013-12-31986,834,000USD2015-02-2010-K · 0001439095-15-000009
At date2012-12-311,256,589,000USD2014-02-2110-K · 0001439095-14-000014
At date2011-12-311,526,740,000USD2013-02-2210-K · 0001193125-13-071478

Related financial histories

Inspect the source

Entity
MRC GLOBAL INC. / CIK 0001439095
Captured
2026-09-21T17:19:54.988Z
SEC response SHA-256
3b50066838e76f4b0aa79dbbfc5029126e2d0b4a8788aedd695f449816559fd9

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/0001439095.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"])))