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Corindus Vascular Robotics, Inc.: filings

Every Corindus Vascular Robotics, 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 2019-08-09

The latest filing in this captured record is a 10-Q filed 2019-08-09. No later filing is in the SEC companyfacts record captured on 2026-09-22. Corindus Vascular Robotics, 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-Q2019-08-09fiscal Q2 2019431160001387131-19-005958
10-Q2019-05-08fiscal Q1 201940820001387131-19-003433
10-K2019-03-18fiscal FY 2018411470001387131-19-002024
10-Q2018-11-07fiscal Q3 2018371000001387131-18-005944
10-Q2018-08-08fiscal Q2 201837990001387131-18-003788
10-Q2018-05-15fiscal Q1 201837770001387131-18-002206
10-K2018-03-19fiscal FY 2017401490001387131-18-001104
10-Q2017-11-08fiscal Q3 201733840001387131-17-005334
10-Q2017-08-09fiscal Q2 201733840001387131-17-003996
10-Q2017-05-10fiscal Q1 201731630001387131-17-002594
10-K2017-03-15fiscal FY 2016361380001387131-17-001388
10-Q2016-11-09fiscal Q3 201634870001387131-16-007784
10-Q2016-08-08fiscal Q2 201634880001387131-16-006378
10-Q2016-05-10fiscal Q1 201632660001387131-16-005349
10-K2016-03-11fiscal FY 2015351370001387131-16-004549
10-Q2015-11-12fiscal Q3 201533870001193125-15-375888
10-Q2015-08-13fiscal Q2 201530770001193125-15-290148
10-Q2015-05-15fiscal Q1 201534680001193125-15-190041
10-K2015-03-30fiscal FY 201436720001193125-15-112118
10-Q2014-11-19fiscal Q3 201430760001387131-14-003874
10-Q2014-07-18fiscal Q1 201524470001387131-14-002497
10-K2014-06-30fiscal FY 201425490001477932-14-003405
10-Q2014-02-14fiscal Q3 201327820001477932-14-000701
10-Q2013-11-19fiscal Q2 201327820001477932-13-005756
10-Q2013-08-22fiscal Q1 201327670001477932-13-003974
10-K2013-07-15fiscal FY 201224590001477932-13-003199
10-Q2013-02-12fiscal Q3 201224800001477932-13-000581
10-Q2012-11-14fiscal Q2 201224770001477932-12-004410
10-Q2012-08-08fiscal Q1 201223580001477932-12-002760
10-K2012-06-28fiscal FY 201123230001477932-12-002089
10-Q2012-02-15fiscal Q1 201224410001477932-12-000439

Inspect the source

Entity
Corindus Vascular Robotics, Inc. / CIK 0001528557
Captured
SEC response SHA-256
a50160a453b05329e414b7b489c53a0958ec5fc561b2d8019ca22673bfb32e8e

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/0001528557.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"])))