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RANGER ENERGY SERVICES, INC.: filings

Every RANGER ENERGY SERVICES, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-04-28fiscal Q1 2026501010001699039-26-000001
10-K2026-03-05fiscal FY 2025511030001628280-26-015248
10-Q2025-11-10fiscal Q3 2025501390001628280-25-051148
10-Q2025-07-29fiscal Q2 2025491370001699039-25-000084
10-Q2025-04-30fiscal Q1 202547950001699039-25-000050
10-K2025-03-04fiscal FY 2024501000001699039-25-000015
10-Q2024-10-28fiscal Q3 2024491350001699039-24-000121
10-Q2024-07-30fiscal Q2 2024491350001699039-24-000095
10-Q2024-05-07fiscal Q1 202449990001699039-24-000067
10-K2024-03-05fiscal FY 202349980001699039-24-000025
10-Q2023-10-31fiscal Q3 2023491350001699039-23-000128
10-Q2023-08-08fiscal Q2 2023491350001699039-23-000099
10-Q2023-05-05fiscal Q1 202349990001699039-23-000062
10-K2023-03-13fiscal FY 202249990001699039-23-000016
10-Q2022-10-31fiscal Q3 2022491410001699039-22-000147
10-Q2022-08-03fiscal Q2 2022491410001699039-22-000113
10-Q2022-04-29fiscal Q1 2022501030001699039-22-000082
10-K2022-03-30fiscal FY 2021511030001699039-22-000029
10-Q2021-11-05fiscal Q3 2021501390001699039-21-000122
10-Q2021-07-30fiscal Q2 2021501370001699039-21-000081
10-Q2021-05-06fiscal Q1 202148970001699039-21-000039
10-K2021-02-26fiscal FY 2020501010001699039-21-000017
10-Q2020-10-23fiscal Q3 2020481330001699039-20-000056
10-Q2020-07-28fiscal Q2 2020481330001699039-20-000042
10-Q2020-05-01fiscal Q1 202048970001699039-20-000024
10-K2020-02-28fiscal FY 2019521500001699039-20-000008
10-Q2019-10-25fiscal Q3 2019481310001699039-19-000058
10-Q2019-07-26fiscal Q2 2019471310001699039-19-000045
10-Q2019-05-01fiscal Q1 201947980001699039-19-000028
10-K2019-03-06fiscal FY 2018491480001699039-19-000012
10-Q2018-11-07fiscal Q3 2018461280001699039-18-000036
10-Q2018-08-08fiscal Q2 2018451260001699039-18-000017
10-Q2018-05-10fiscal Q1 201845880001558370-18-004564
10-K2018-03-13fiscal FY 2017451300001558370-18-001955
10-Q2017-11-09fiscal Q3 2017441060001558370-17-008746
10-Q2017-09-01fiscal Q2 201734870001558370-17-006899

Inspect the source

Entity
RANGER ENERGY SERVICES, INC. / CIK 0001699039
Captured
2026-09-21T17:25:41.858Z
SEC response SHA-256
e55fd1b357f8517788e7472d498d19e09f8ed608697ff1043077f13bef731d95

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/0001699039.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"])))