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CUSTOM TRUCK ONE SOURCE, INC.: filings

Every CUSTOM TRUCK ONE SOURCE, INC. 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-Q2026-08-03fiscal Q2 2026501440001709682-26-000040
10-Q2026-04-27fiscal Q1 2026491020001709682-26-000018
10-K2026-03-10fiscal FY 2025571490001709682-26-000008
10-Q2025-10-27fiscal Q3 2025491440001709682-25-000039
10-Q2025-07-30fiscal Q2 2025501440001709682-25-000031
10-Q2025-04-30fiscal Q1 2025501040001709682-25-000023
10-K2025-03-04fiscal FY 2024571490001709682-25-000006
10-Q2024-10-30fiscal Q3 2024501480001709682-24-000073
10-Q2024-08-01fiscal Q2 2024501440001709682-24-000053
10-Q2024-05-02fiscal Q1 2024501040001709682-24-000037
10-K2024-03-07fiscal FY 2023581520001709682-24-000010
10-Q2023-11-07fiscal Q3 2023501480001709682-23-000058
10-Q2023-08-08fiscal Q2 2023501440001709682-23-000048
10-Q2023-05-09fiscal Q1 2023501040001709682-23-000043
10-K2023-03-14fiscal FY 2022581510001709682-23-000008
10-Q2022-11-08fiscal Q3 2022511500001709682-22-000097
10-Q2022-08-09fiscal Q2 2022501440001709682-22-000082
10-Q2022-05-10fiscal Q1 202247980001709682-22-000064
10-K2022-03-16fiscal FY 2021551450001709682-22-000036
10-Q2021-11-15fiscal Q3 2021511480001709682-21-000074
10-Q2021-08-16fiscal Q2 2021511440001709682-21-000050
10-Q2021-05-17fiscal Q1 202147980001709682-21-000031
10-K2021-03-09fiscal FY 2020491300001709682-21-000009
10-Q2020-11-09fiscal Q3 2020491490001709682-20-000064
10-Q2020-08-06fiscal Q2 2020451250001709682-20-000056
10-Q2020-05-07fiscal Q1 202045940001709682-20-000035
10-K2020-03-16fiscal FY 2019511660001709682-20-000017
10-Q2019-11-12fiscal Q3 2019471370001709682-19-000060
10-Q2019-07-31fiscal Q2 201917450001213900-19-014075
10-Q2019-05-08fiscal Q1 201915310001213900-19-008078
10-K2019-03-04fiscal FY 201816300001213900-19-003533
10-Q2018-11-13fiscal Q3 201816380001213900-18-015386
10-Q2018-08-08fiscal Q2 201813290001213900-18-010463
10-Q2018-05-10fiscal Q1 201812210001213900-18-005867
10-K2018-03-27fiscal FY 201712120001213900-18-003531
10-Q2017-11-08fiscal Q3 201711120001213900-17-011591
10-Q2017-09-27fiscal Q2 2017990001213900-17-010056

Inspect the source

Entity
CUSTOM TRUCK ONE SOURCE, INC. / CIK 0001709682
Captured
2026-09-21T17:26:37.426Z
SEC response SHA-256
838185dc7b626d81d9e205000546172d782a81e72738e22ea93eaa56d93284b6

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/0001709682.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"])))