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ENERGY RESOURCES 12, L.P.: filings

Every ENERGY RESOURCES 12, L.P. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

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-Q2026-08-12fiscal Q2 202619560001437749-26-027187
10-Q2026-05-12fiscal Q1 202619400001437749-26-016289
10-K2026-03-25fiscal FY 202519390001437749-26-009727
10-Q2025-11-13fiscal Q3 202518540001437749-25-034722
10-Q2025-08-13fiscal Q2 202518520001185185-25-000956
10-Q2025-05-15fiscal Q1 202518380001185185-25-000478
10-K2025-03-26fiscal FY 202418370001185185-25-000219
10-Q2024-11-13fiscal Q3 202418540001185185-24-001102
10-Q2024-08-14fiscal Q2 202418520001185185-24-000803
10-Q2024-05-15fiscal Q1 202417360001185185-24-000517
10-K2024-03-15fiscal FY 202317350001185185-24-000247
10-Q2023-11-13fiscal Q3 202318540001185185-23-001172
10-Q2023-08-10fiscal Q2 202317500001185185-23-000792
10-Q2023-05-15fiscal Q1 202317360001185185-23-000502
10-K2023-03-22fiscal FY 202217350001185185-23-000244
10-Q2022-11-14fiscal Q3 202217520001185185-22-001284
10-Q2022-08-12fiscal Q2 202217500001185185-22-000912
10-Q2022-05-12fiscal Q1 202217360001185185-22-000605
10-K2022-03-17fiscal FY 202117350001185185-22-000290
10-Q2021-11-12fiscal Q3 202116500001185185-21-001643
10-Q2021-08-12fiscal Q2 202116480001185185-21-001105
10-Q2021-05-13fiscal Q1 202116340001185185-21-000639
10-K2021-03-17fiscal FY 202016490001185185-21-000337
10-Q2020-11-12fiscal Q3 202015480001185185-20-001556
10-Q2020-08-13fiscal Q2 202015460001185185-20-001149
10-Q2020-05-26fiscal Q1 202015320001185185-20-000722
10-K2020-03-19fiscal FY 201916490001185185-20-000327
10-Q2019-11-13fiscal Q3 201916500001185185-19-001580
10-Q2019-08-14fiscal Q2 201916480001185185-19-001120
10-Q2019-05-14fiscal Q1 201916340001185185-19-000710
10-K2019-03-29fiscal FY 201816490001185185-19-000437
10-Q2018-11-14fiscal Q3 201815420001185185-18-002037
10-Q2018-08-14fiscal Q2 201814400001185185-18-001457
10-Q2018-05-14fiscal Q1 201813280001185185-18-000868
10-K2018-02-26fiscal FY 201710210001185185-18-000320
10-Q2017-10-30fiscal Q3 201710170001185185-17-002217
10-Q2017-08-02fiscal Q2 201710170001185185-17-001627

Inspect the source

Entity
ENERGY RESOURCES 12, L.P. / CIK 0001696088
Captured
2026-09-21T17:19:15.273Z
SEC response SHA-256
24c9b6d71404788b57ab2515a8ff2405a46ad6f88da6aecbacf8032dc9d37ae8

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/0001696088.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"])))