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NewAge, Inc.: filings

Every NewAge, 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 2021-11-09

The latest filing in this captured record is a 10-Q filed 2021-11-09. No later filing is in the SEC companyfacts record captured on 2026-09-22. NewAge, 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-Q2021-11-09fiscal Q3 2021521460001493152-21-027662
10-Q2021-08-09fiscal Q2 2021521450001493152-21-019030
10-Q2021-05-10fiscal Q1 202149980001493152-21-010838
10-K2021-03-18fiscal FY 2020531080001493152-21-006345
10-Q2020-11-09fiscal Q3 2020471260001493152-20-020731
10-Q2020-08-10fiscal Q2 2020471260001493152-20-015028
10-Q2020-05-11fiscal Q1 202048980001493152-20-008146
10-K2020-03-16fiscal FY 2019551090001493152-20-003980
10-Q2019-11-14fiscal Q3 2019481220001493152-19-017532
10-Q2019-08-08fiscal Q2 2019471180001493152-19-011832
10-Q2019-05-09fiscal Q1 201944900001654954-19-005484
10-K2019-04-01fiscal FY 201849990001654954-19-003847
10-Q2018-11-14fiscal Q3 2018411080001654954-18-012726
10-Q/A2018-08-17fiscal Q1 201837760001654954-18-009344
10-K/A2018-08-17fiscal FY 201742860001654954-18-009343
10-Q2018-08-14fiscal Q2 2018411080001654954-18-009136
10-Q2018-05-15fiscal Q1 201837760001654954-18-005406
10-K2018-04-17fiscal FY 201742860001654954-18-004039
10-Q2017-11-14fiscal Q3 201737900001493152-17-012953
10-Q2017-08-15fiscal Q2 201735860001493152-17-009338
10-Q2017-05-16fiscal Q1 201730590001493152-17-005403
10-K2017-03-31fiscal FY 201622390001493152-17-003225
10-Q2016-11-14fiscal Q3 201617340001079974-16-001687
10-Q2016-08-22fiscal Q2 201616320001079974-16-001547
10-Q2016-05-06fiscal Q1 201616320001079974-16-001169
10-Q2015-05-14fiscal Q1 201528580001079974-15-000348
10-K2015-04-15fiscal FY 201435720001079974-15-000276
10-Q2014-11-07fiscal Q3 201433840001079974-14-000764
10-Q2014-07-31fiscal Q2 201432830001079974-14-000559
10-Q2014-05-08fiscal Q1 201432650001079974-14-000368

4 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
NewAge, Inc. / CIK 0001579823
Captured
SEC response SHA-256
f039fbc2d790429318c6cb7e058e51b4e492e0c7a38a3cf03e1b0fc58630c086

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/0001579823.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"])))