Skip to content

Willbros Group, Inc.\NEW\: filings

Every Willbros Group, Inc.\NEW\ annual and quarterly report in the SEC record with the published financial measures it tagged, 30 filings, each linked to its SEC index.

Filing record ends 2018-05-09

The latest filing in this captured record is a 10-Q filed 2018-05-09. No later filing is in the SEC companyfacts record captured on 2026-09-22. Willbros Group, Inc.\NEW\ may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2018-05-09fiscal Q1 201843880001449732-18-000013
10-K2018-03-30fiscal FY 2017421660001449732-18-000005
10-Q2017-11-09fiscal Q3 2017401110001449732-17-000014
10-Q2017-08-01fiscal Q2 2017401100001449732-17-000011
10-Q2017-05-02fiscal Q1 201740800001449732-17-000007
10-K2017-03-08fiscal FY 2016421660001449732-17-000004
10-Q2016-10-28fiscal Q3 2016371020001449732-16-000026
10-Q2016-07-29fiscal Q2 2016371020001449732-16-000023
10-Q2016-05-03fiscal Q1 201637760001449732-16-000021
10-K2016-03-10fiscal FY 2015431700001449732-16-000018
10-Q2015-11-06fiscal Q3 2015371040001449732-15-000014
10-Q2015-08-07fiscal Q2 2015371030001449732-15-000010
10-Q2015-05-06fiscal Q1 201537780001449732-15-000006
10-K2015-03-31fiscal FY 2014461790001628280-15-002083
10-Q2014-12-15fiscal Q3 2014371040001445305-14-005562
10-Q2014-12-15fiscal Q2 2014371040001445305-14-005560
10-Q2014-12-15fiscal Q1 201437780001445305-14-005558
10-Q2014-08-05fiscal Q2 2014371040001193125-14-293840
10-Q2014-05-06fiscal Q1 201437780001193125-14-182866
10-K2014-02-28fiscal FY 2013451770001193125-14-073497
10-Q2013-11-06fiscal Q3 2013391090001193125-13-430463
10-Q2013-08-09fiscal Q2 2013391090001193125-13-327266
10-Q2013-05-09fiscal Q1 201339820001193125-13-207997
10-K2013-03-07fiscal FY 2012471690001193125-13-094278
10-Q2012-11-09fiscal Q3 2012401110001193125-12-461089
10-Q2012-08-07fiscal Q2 2012401110001193125-12-341295
10-Q2012-05-08fiscal Q1 201240820001193125-12-215899
10-K2012-04-09fiscal FY 2011401050001193125-12-154999
10-Q2011-11-08fiscal Q3 2011401070000950123-11-096119
10-Q/A2011-08-03fiscal Q2 2011391060000950123-11-071762

Inspect the source

Entity
Willbros Group, Inc.\NEW\ / CIK 0001449732
Captured
SEC response SHA-256
ca0e973b991a4d589e5167925422042caba495d3e7905b06adafce562469e125

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

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001449732.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"])))