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DRAGONWAVE INC: filings

Every DRAGONWAVE INC annual and quarterly report in the SEC record with the published financial measures it tagged, 6 filings, each linked to its SEC index.

Filing record ends 2017-06-08

The latest filing in this captured record is a 20-F filed 2017-06-08. No later filing is in the SEC companyfacts record captured on 2026-09-22. DRAGONWAVE 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
20-F2017-06-08fiscal FY 201734680001047469-17-003892
20-F2016-05-31fiscal FY 201638740001047469-16-013528
20-F2015-05-27fiscal FY 201542830001047469-15-005038
40-F2014-05-15fiscal FY 201344880001047469-14-004948
40-F/A2013-05-17fiscal FY 201242860001047469-13-006283
40-F2012-05-03fiscal FY 201132670001047469-12-005280

Inspect the source

Entity
DRAGONWAVE INC / CIK 0001178946
Captured
SEC response SHA-256
74ab9d25f0674eb6cbd59feec7b45af2898576af044294eb4121dff98625a231

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/0001178946.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"])))