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AMPLIFY ENERGY CORP: filings

Every AMPLIFY ENERGY CORP 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 2019-08-05

The latest filing in this captured record is a 10-Q filed 2019-08-05. No later filing is in the SEC companyfacts record captured on 2026-09-22. AMPLIFY ENERGY CORP 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-Q2019-08-05fiscal Q2 2019371050001564590-19-028756
10-Q2019-05-09fiscal Q1 201936750001564590-19-017965
10-K2019-03-06fiscal FY 2018391190001564590-19-006483
10-Q2018-11-07fiscal Q3 2018351000001564590-18-028003
10-Q2018-08-08fiscal Q2 201835880001564590-18-020523
10-Q2018-05-09fiscal Q1 201830460001564590-18-012456
10-K2018-03-12fiscal FY 201735580001564590-18-005304
10-Q2017-11-07fiscal Q3 201732640001564590-17-022225
10-Q2017-08-09fiscal Q2 201732510001564590-17-016982
10-Q2017-05-10fiscal Q1 201724500001564590-17-010267
10-K2017-03-10fiscal FY 201628970001564590-17-004002
10-Q2016-11-02fiscal Q3 201625700001564590-16-027033
10-Q2016-08-03fiscal Q2 201625640001564590-16-022341
10-Q2016-05-04fiscal Q1 201624500001564590-16-017656
10-K2016-02-24fiscal FY 201526930001564590-16-013218
10-Q2015-11-04fiscal Q3 201524650001564590-15-009376
10-Q2015-08-05fiscal Q2 201524650001564590-15-006217
10-Q2015-05-08fiscal Q1 201524470001564590-15-003751
10-K2015-02-26fiscal FY 201425790001564590-15-001028
10-Q2014-11-05fiscal Q3 201425710001564590-14-004962
10-Q2014-08-06fiscal Q2 201425710001193125-14-298304
10-Q2014-05-07fiscal Q1 201424490001193125-14-187626
10-K2014-03-07fiscal FY 201328920001193125-14-089366
10-Q2013-11-07fiscal Q3 201328770001193125-13-433085
10-Q2013-08-07fiscal Q2 201328770001193125-13-324198
10-Q2013-05-10fiscal Q1 201329580001193125-13-212281
10-K2013-03-05fiscal FY 201230930001193125-13-091519
10-Q2012-11-09fiscal Q3 201228470001193125-12-463327
10-Q2012-08-14fiscal Q2 201228460001193125-12-354299
10-Q2012-05-15fiscal Q1 201224330001193125-12-233351

Inspect the source

Entity
AMPLIFY ENERGY CORP / CIK 0001521847
Captured
SEC response SHA-256
8770fc72bd05a43d0debbfcbcc67d0b02dd26473a635cc9b5587dc4a922b153d

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/0001521847.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"])))