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MELINTA THERAPEUTICS, INC. /NEW/: filings

Every MELINTA THERAPEUTICS, INC. /NEW/ 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 2019-11-12

The latest filing in this captured record is a 10-Q filed 2019-11-12. No later filing is in the SEC companyfacts record captured on 2026-09-22. MELINTA THERAPEUTICS, INC. /NEW/ 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-Q2019-11-12fiscal Q3 2019421160001461993-19-000059
10-Q2019-08-09fiscal Q2 2019431140001461993-19-000045
10-Q2019-05-10fiscal Q1 201943900001461993-19-000015
10-K2019-03-14fiscal FY 2018411590001628280-19-002907
10-Q2018-11-07fiscal Q3 2018431070001461993-18-000006
10-Q2018-08-09fiscal Q2 201843990001564590-18-020767
10-Q2018-05-10fiscal Q1 201838710001564590-18-013043
10-K2018-03-16fiscal FY 2017371370001564590-18-005947
10-Q2017-11-02fiscal Q3 201724670001564590-17-021211
10-Q2017-08-09fiscal Q2 201724670001564590-17-016765
10-Q2017-04-28fiscal Q1 201723480001564590-17-007657
10-K2017-02-28fiscal FY 2016241130001564590-17-002719
10-Q2016-10-27fiscal Q3 201624680001564590-16-026381
10-Q2016-08-01fiscal Q2 201624680001564590-16-021911
10-Q2016-05-02fiscal Q1 201626530001564590-16-017248
10-K2016-02-25fiscal FY 2015271170001564590-16-013362
10-Q2015-10-22fiscal Q3 201527750001564590-15-008544
10-Q2015-07-29fiscal Q2 201527750001564590-15-005786
10-Q2015-04-30fiscal Q1 201527550001564590-15-003122
10-K2015-02-26fiscal FY 2014271180001564590-15-001019
10-Q2014-10-29fiscal Q3 201427730001564590-14-004631
10-Q2014-07-29fiscal Q2 201427730001564590-14-002946
10-Q2014-04-29fiscal Q1 201430590001564590-14-001647
10-K2014-02-28fiscal FY 2013311250001564590-14-000446
10-Q2013-10-29fiscal Q3 2013311140001193125-13-416078
10-Q2013-07-31fiscal Q2 2013311140001193125-13-311608
10-Q2013-04-25fiscal Q1 201331910001193125-13-174054
10-K2013-03-07fiscal FY 2012311470001193125-13-096011
10-Q2012-11-08fiscal Q3 2012301060001193125-12-460805
10-Q2012-08-08fiscal Q2 2012301050001193125-12-344151
10-Q2012-05-10fiscal Q1 201229840001193125-12-225467

Inspect the source

Entity
MELINTA THERAPEUTICS, INC. /NEW/ / CIK 0001461993
Captured
SEC response SHA-256
a91f8f211753f3d9ac6e05de33d49dcc2bb8e612652c27bc45fa4809eebdc607

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/0001461993.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"])))