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Eco-Stim Energy Solutions, Inc.: filings

Every Eco-Stim Energy Solutions, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 31 filings, each linked to its SEC index.

Filing record ends 2019-05-10

The latest filing in this captured record is a 10-K filed 2019-05-10. No later filing is in the SEC companyfacts record captured on 2026-09-22. Eco-Stim Energy Solutions, Inc. 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-K2019-05-10fiscal FY 201836910001493152-19-006797
10-Q2018-11-14fiscal Q3 201837960001493152-18-016077
10-Q2018-08-14fiscal Q2 201836920001493152-18-011796
10-Q2018-05-15fiscal Q1 201836690001493152-18-007052
10-K2018-03-19fiscal FY 2017431150001493152-18-003573
10-Q2017-11-13fiscal Q3 201738970001493152-17-012745
10-Q2017-08-14fiscal Q2 201736930001493152-17-009038
10-Q2017-05-15fiscal Q1 201735700001493152-17-005191
10-K2017-03-17fiscal FY 2016371070001493152-17-002572
10-Q2016-11-14fiscal Q3 201632810001493152-16-014868
10-Q2016-08-15fiscal Q2 201632800001493152-16-012385
10-Q2016-05-13fiscal Q1 201632630001493152-16-009725
10-K2016-03-17fiscal FY 2015381060001493152-16-008111
10-Q2015-11-12fiscal Q3 201531810001493152-15-005296
10-Q2015-08-10fiscal Q2 201532820001493152-15-003492
10-Q2015-05-13fiscal Q1 201531610001493152-15-001886
10-K2015-03-18fiscal FY 201434920001493152-15-000864
10-Q2014-11-12fiscal Q3 201427660001493152-14-003626
10-Q2014-08-12fiscal Q2 201428700001493152-14-002447
10-Q2014-05-14fiscal Q1 201425490001493152-14-001450
10-K2014-03-28fiscal FY 201328550001493152-14-000876
10-Q2013-11-14fiscal Q2 201316440001354488-13-006343
10-Q2013-08-13fiscal Q1 201315290001354488-13-004452
10-K2013-05-29fiscal FY 201215360001354488-13-003212
10-Q2013-02-07fiscal Q3 201215400001354488-13-000468
10-Q2012-11-09fiscal Q2 201215400001354488-12-005682
10-Q2012-08-10fiscal Q1 201216320001354488-12-004011
10-K2012-06-26fiscal FY 201116360001354488-12-003371
10-Q2012-02-08fiscal Q3 201116440001354488-12-000487
10-Q2011-11-09fiscal Q2 201116440001354488-11-004144
10-Q2011-07-29fiscal Q1 201116320001354488-11-002386

Inspect the source

Entity
Eco-Stim Energy Solutions, Inc. / CIK 0001135657
Captured
SEC response SHA-256
719ed5d99e241945c2070e74265147ad01058a50261f64b7aba55fa09b71844d

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/0001135657.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"])))