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Great Lakes Dredge & Dock Corporation: other noncurrent assets

Other noncurrent assets for Great Lakes Dredge & Dock Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Great Lakes Dredge & Dock Corporation financial histories

What this measure means

Noncurrent assets the filer does not present separately. The composition differs by filer and is described only in the filing.

Exact concept: us-gaap:OtherAssetsNoncurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Other noncurrent assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3114,530,000USD2026-03-0910-K/A · 0001193125-26-097043
At date2024-12-3120,489,000USD2026-03-0910-K/A · 0001193125-26-097043
At date2023-12-3118,605,000USD2025-02-2110-K · 0000950170-25-024407
At date2022-12-318,676,000USD2024-02-1610-K · 0000950170-24-016412
At date2021-12-3111,278,000USD2023-02-1710-K · 0000950170-23-003211
At date2020-12-3112,112,000USD2022-02-2310-K · 0001564590-22-006231
At date2019-12-317,960,000USD2021-02-2410-K · 0001564590-21-008165
At date2018-12-3110,760,000USD2020-02-2610-K · 0001564590-20-006778
At date2017-12-3113,088,000USD2019-02-2610-K · 0001564590-19-004521
At date2016-12-3121,644,000USD2018-03-0110-K · 0001564590-18-003940
At date2015-12-316,770,000USD2017-02-2810-K · 0001564590-17-002889
At date2014-12-3112,105,000USD2016-02-2910-K · 0001564590-16-013760
At date2013-12-319,062,000USD2015-03-0610-K · 0001193125-15-081253
At date2012-12-3117,702,000USD2014-03-1110-K · 0001193125-14-094004
At date2011-12-3116,273,000USD2013-03-2910-K · 0001193125-13-134675
At date2010-12-3111,839,000USD2012-03-0910-K · 0001193125-12-107139

Related financial histories

Inspect the source

Entity
Great Lakes Dredge & Dock Corporation / CIK 0001372020
Captured
2026-09-21T17:19:27.004Z
SEC response SHA-256
a9b0868fd4d9de5953211d7938513a4aa791445a01f88b297a4f92020f1ff16b

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/0001372020.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"])))