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TETRAPHASE PHARMACEUTICALS INC: filings

Every TETRAPHASE PHARMACEUTICALS INC annual and quarterly report in the SEC record with the published financial measures it tagged, 29 filings, each linked to its SEC index.

Filing record ends 2020-05-07

The latest filing in this captured record is a 10-Q filed 2020-05-07. No later filing is in the SEC companyfacts record captured on 2026-09-22. TETRAPHASE PHARMACEUTICALS 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-Q2020-05-07fiscal Q1 202033630001564590-20-022821
10-K2020-03-12fiscal FY 2019391290001564590-20-010220
10-Q2019-11-12fiscal Q3 201937940001564590-19-043013
10-Q2019-08-08fiscal Q2 201934830001564590-19-030922
10-Q2019-05-08fiscal Q1 201933610001564590-19-017333
10-K2019-03-15fiscal FY 2018401250001564590-19-008034
10-Q2018-11-09fiscal Q3 201829690001564590-18-028694
10-Q2018-08-02fiscal Q2 201828700001564590-18-018883
10-Q2018-05-03fiscal Q1 201825510001564590-18-010676
10-K2018-03-06fiscal FY 2017301100001564590-18-004528
10-Q2017-11-01fiscal Q3 201725650001564590-17-020834
10-Q2017-08-02fiscal Q2 201725650001564590-17-014887
10-Q2017-05-08fiscal Q1 201725510001564590-17-009403
10-K2017-03-13fiscal FY 2016321120001564590-17-004141
10-Q2016-11-03fiscal Q3 201626660001564590-16-027359
10-Q2016-08-04fiscal Q2 201625640001564590-16-022698
10-Q2016-05-04fiscal Q1 201625500001564590-16-017641
10-K2016-02-25fiscal FY 2015321170001564590-16-013419
10-Q2015-11-02fiscal Q3 201525650001564590-15-009049
10-Q2015-08-06fiscal Q2 201525650001193125-15-280120
10-Q2015-05-07fiscal Q1 201527550001193125-15-177297
10-K2015-03-06fiscal FY 2014321160001193125-15-081060
10-Q2014-11-10fiscal Q3 201426710001193125-14-406079
10-Q2014-08-12fiscal Q2 201428750001193125-14-306701
10-Q2014-05-12fiscal Q1 201428710001193125-14-193706
10-K2014-03-06fiscal FY 2013351520001193125-14-086844
10-Q2013-11-14fiscal Q3 201331960001193125-13-441031
10-Q2013-08-12fiscal Q2 201331980001193125-13-331037
10-Q2013-05-13fiscal Q1 201334850001193125-13-216677

Inspect the source

Entity
TETRAPHASE PHARMACEUTICALS INC / CIK 0001373707
Captured
SEC response SHA-256
13948097697e25202100dd2f41216b652c67d30cc15be2385e021f866dd94fa0

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/0001373707.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"])))