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THT Heat Transfer Technology, Inc.: filings

Every THT Heat Transfer Technology, Inc. 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 2018-11-19

The latest filing in this captured record is a 10-Q filed 2018-11-19. No later filing is in the SEC companyfacts record captured on 2026-09-22. THT Heat Transfer Technology, 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-Q2018-11-19fiscal Q3 201836960001062993-18-004743
10-Q2018-08-14fiscal Q2 201836960001062993-18-003444
10-Q2018-05-21fiscal Q1 201833660001062993-18-002343
10-K2018-04-17fiscal FY 201740820001062993-18-001697
10-Q2017-11-14fiscal Q3 201732900001062993-17-004959
10-Q2017-08-15fiscal Q2 201731840001062993-17-003851
10-Q2017-05-15fiscal Q1 201732660001062993-17-002576
10-K2017-04-17fiscal FY 201631640001062993-17-001901
10-Q2016-11-14fiscal Q3 201631860001062993-16-012316
10-Q2016-08-15fiscal Q2 201632900001062993-16-011145
10-Q2016-05-16fiscal Q1 201631640001062993-16-009832
10-K2016-03-30fiscal FY 201531640001062993-16-008592
10-Q2015-11-16fiscal Q3 201532880001062993-15-006240
10-Q2015-08-14fiscal Q2 201530820001062993-15-004601
10-Q2015-05-15fiscal Q1 201529600001062993-15-002891
10-K2015-03-31fiscal FY 201432660001062993-15-001673
10-Q2014-11-13fiscal Q3 201432900001062993-14-006596
10-Q2014-08-14fiscal Q2 201431880001062993-14-004973
10-Q2014-05-15fiscal Q1 201432660001062993-14-003057
10-K2014-03-31fiscal FY 201333670001062993-14-001768
10-Q2013-11-13fiscal Q3 201333920001062993-13-005659
10-Q2013-08-14fiscal Q2 201333920001062993-13-004137
10-Q2013-05-14fiscal Q1 201333680001062993-13-002482
10-K2013-04-01fiscal FY 201235720001062993-13-001603
10-Q2012-11-14fiscal Q3 201234960001062993-12-004806
10-Q2012-08-14fiscal Q2 201234960001062993-12-002993
10-Q2012-05-14fiscal Q1 201234700001204459-12-001098
10-K2012-03-30fiscal FY 201135720001204459-12-000671
10-Q2011-11-21fiscal Q3 201134960001204459-11-003153
10-Q/A2011-08-17fiscal Q2 201134960001204459-11-002321

Inspect the source

Entity
THT Heat Transfer Technology, Inc. / CIK 0001375686
Captured
SEC response SHA-256
efe8f054f16c240086cf142718714d5ba81df40f942d1394158618c1625ec912

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/0001375686.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"])))