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Petro River Oil Corp.: filings

Every Petro River Oil Corp. 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 2019-12-13

The latest filing in this captured record is a 10-Q filed 2019-12-13. No later filing is in the SEC companyfacts record captured on 2026-09-22. Petro River Oil 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-Q2019-12-13fiscal Q2 2020361020001654954-19-013901
10-Q2019-09-23fiscal Q1 202035740001654954-19-011026
10-K2019-08-13fiscal FY 201933680001654954-19-009399
10-Q2019-03-25fiscal Q3 201932840001654954-19-003249
10-Q2018-12-17fiscal Q2 201931820001654954-18-014006
10-Q2018-09-14fiscal Q1 201930620001654954-18-010203
10-K2018-07-30fiscal FY 201831640001654954-18-008175
10-Q2018-03-26fiscal Q3 201832820001654954-18-003133
10-Q2017-12-20fiscal Q2 201832820001654954-17-011761
10-Q2017-12-19fiscal Q2 201832820001654954-17-011750
10-Q2017-09-14fiscal Q1 201831640001654954-17-008463
10-K2017-07-31fiscal FY 201731640001654954-17-006772
10-Q2017-03-17fiscal Q3 201732820001654954-17-002134
10-Q2016-12-14fiscal Q2 201732820001654954-16-004845
10-Q2016-09-14fiscal Q1 201731630001415889-16-007125
10-K2016-07-29fiscal FY 201632660001415889-16-006632
10-Q2016-03-21fiscal Q3 201635860001415889-16-005184
10-Q2015-12-16fiscal Q2 201533780001415889-15-004076
10-Q2015-09-21fiscal Q1 201531620001415889-15-003136
10-K2015-08-13fiscal FY 201528560001415889-15-002688
10-Q2015-03-16fiscal Q3 201529690001415889-15-000925
10-Q2014-12-15fiscal Q2 201529680001415889-14-003888
10-Q2014-09-23fiscal Q1 201527550001493152-14-003047
10-K2014-08-13fiscal FY 201425610001493152-14-002504
10-Q2014-03-17fiscal Q3 201425600001493152-14-000767
10-Q2013-12-16fiscal Q2 201425610001493152-13-002701
10-Q2013-09-23fiscal Q1 201425500001493152-13-001864
10-K2013-08-28fiscal FY 201326460001493152-13-001720
10-Q2013-03-25fiscal Q3 201331840001493152-13-000476
10-Q2012-12-19fiscal Q2 201332850001493152-12-001930
20-F2012-11-02fiscal FY 201229720001493152-12-001496

Inspect the source

Entity
Petro River Oil Corp. / CIK 0001172298
Captured
SEC response SHA-256
d6da35147d87427228eea009cc80492916695fa0cda63536e227585272782659

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/0001172298.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"])))