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Avant Diagnostics, Inc: filings

Every Avant Diagnostics, 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 2019-03-13

The latest filing in this captured record is a 10-Q filed 2019-03-13. No later filing is in the SEC companyfacts record captured on 2026-09-22. Avant Diagnostics, 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-Q2019-03-13fiscal Q1 201926490001493152-19-003233
10-K2019-03-01fiscal FY 201831570001493152-19-002736
10-Q2019-01-30fiscal Q3 201830690001493152-19-001153
10-Q2019-01-09fiscal Q2 201830710001493152-19-000349
10-Q2018-12-28fiscal Q1 201830540001493152-18-018046
10-K2018-12-04fiscal FY 201731620001493152-18-017043
10-Q2018-12-04fiscal Q3 201731750001493152-18-017042
10-Q2018-10-23fiscal Q2 201733790001493152-18-014808
10-Q2018-10-23fiscal Q1 201733590001493152-18-014807
10-K2018-08-28fiscal FY 201631550001213900-18-011800
10-Q2017-09-26fiscal Q3 201627620001213900-17-010006
10-Q2016-05-23fiscal Q2 201620510001477932-16-010574
10-Q2016-02-16fiscal Q1 201616340001477932-16-008622
10-K2016-01-13fiscal FY 201519380001477932-16-008031
10-Q2015-08-14fiscal Q3 201519450001477932-15-005244
10-Q2015-07-22fiscal Q2 201518430001477932-15-004621
10-Q2015-04-07fiscal Q1 201515320001477932-15-002299
10-K2015-02-12fiscal FY 201418380001019687-15-000561
10-Q2014-09-19fiscal Q3 201413400001019687-14-003639
10-Q2014-06-23fiscal Q2 201414460001019687-14-002523
10-Q2014-03-24fiscal Q1 201414380001019687-14-000958
10-K2014-02-12fiscal FY 201317440001580695-14-000056
10-Q2013-09-23fiscal Q3 201320630001214782-13-000368
10-Q2013-06-14fiscal Q2 201320610001387131-13-002198
10-Q2013-03-20fiscal Q1 201320550001214782-13-000143
10-K2013-02-14fiscal FY 201215420001144204-13-008941
10-Q/A2012-12-18fiscal Q3 201213390001144204-12-068478
10-Q2012-06-14fiscal Q2 201212360001144204-12-034741
10-Q2012-03-16fiscal Q1 201212280001144204-12-015525
10-K2012-02-14fiscal FY 201114400001144204-12-008657
10-Q/A2012-01-19fiscal Q3 201114420001144204-12-002961

Inspect the source

Entity
Avant Diagnostics, Inc / CIK 0001451929
Captured
SEC response SHA-256
d177fe59e04e5f68863c1b563d8f09603b20a05b7c152ae5cd784ce4f3d161f7

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/0001451929.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"])))