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Insys Therapeutics, Inc.: filings

Every Insys Therapeutics, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2019-05-13

The latest filing in this captured record is a 10-Q filed 2019-05-13. No later filing is in the SEC companyfacts record captured on 2026-09-22. Insys Therapeutics, 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-Q2019-05-13fiscal Q1 201944880001564590-19-018617
10-K2019-03-13fiscal FY 2018471620001564590-19-007444
10-Q2018-11-09fiscal Q3 2018411220001564590-18-028844
10-Q2018-08-09fiscal Q2 2018411160001564590-18-020950
10-Q2018-05-10fiscal Q1 201834690001564590-18-013037
10-K2018-03-12fiscal FY 2017401400001564590-18-005187
10-Q2017-11-03fiscal Q3 2017351020001564590-17-021366
10-Q2017-08-07fiscal Q2 2017351030001564590-17-015734
10-Q2017-05-09fiscal Q1 201735710001564590-17-009759
10-Q/A2017-04-07fiscal Q3 2016361180001193125-17-116502
10-Q/A2017-04-07fiscal Q2 2016391250001193125-17-116495
10-Q/A2017-04-07fiscal Q1 201638900001193125-17-116487
10-K2017-04-03fiscal FY 2016411760001564590-17-005856
10-Q2016-11-03fiscal Q3 2016361040001437749-16-040979
10-Q2016-08-05fiscal Q2 2016391110001437749-16-036592
10-Q2016-05-05fiscal Q1 201638760001437749-16-030828
10-K2016-02-29fiscal FY 2015451510001437749-16-026220
10-Q2015-11-05fiscal Q3 2015381090001437749-15-019892
10-Q2015-08-06fiscal Q2 2015381090001437749-15-015104
10-Q2015-05-11fiscal Q1 201537750001437749-15-009696
10-K2015-03-03fiscal FY 201445910001437749-15-003988
10-Q2014-11-12fiscal Q3 2014361050001437749-14-020330
10-Q2014-08-12fiscal Q2 2014371070001437749-14-015054
10-Q2014-05-14fiscal Q1 201436780001437749-14-008917
10-K2014-03-05fiscal FY 201342830001437749-14-003376
10-Q2013-11-12fiscal Q3 2013371040001437749-13-014471
10-Q2013-08-13fiscal Q2 2013371040001437749-13-010651
10-Q2013-06-05fiscal Q1 201336740001193125-13-248227

Inspect the source

Entity
Insys Therapeutics, Inc. / CIK 0001516479
Captured
SEC response SHA-256
6f3cd7adfd5f67c6f846da884f7554671327452283e934e47d1dfcc219388fd6

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/0001516479.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"])))