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ATEL 17, LLC: filings

Every ATEL 17, LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 34 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-Q2025-11-14fiscal Q3 202514400001104659-25-112271
10-Q2025-08-14fiscal Q2 202514390001558370-25-011527
10-Q2025-05-15fiscal Q1 202514280001558370-25-007849
10-K2025-03-19fiscal FY 202414290001558370-25-003285
10-Q2024-11-14fiscal Q3 202414390001558370-24-015679
10-Q2024-08-14fiscal Q2 202414390001558370-24-012198
10-Q2024-05-14fiscal Q1 202414280001558370-24-008154
10-K2024-03-21fiscal FY 202314290001558370-24-003651
10-Q2023-11-14fiscal Q3 202314390001558370-23-018993
10-Q2023-08-14fiscal Q2 202314390001558370-23-014813
10-Q2023-05-15fiscal Q1 202314290001558370-23-009908
10-K2023-03-15fiscal FY 202214290001558370-23-003765
10-Q2022-11-14fiscal Q3 202213380001558370-22-017695
10-Q2022-08-12fiscal Q2 202213380001558370-22-013458
10-Q2022-05-13fiscal Q1 202213280001558370-22-008674
10-K2022-03-18fiscal FY 202113270001558370-22-003904
10-Q2021-11-15fiscal Q3 202113380001558370-21-015825
10-Q2021-08-16fiscal Q2 202113380001558370-21-011732
10-Q2021-05-17fiscal Q1 202113280001558370-21-007314
10-K2021-03-30fiscal FY 202013270001558370-21-003670
10-Q2020-11-16fiscal Q3 202012340001558370-20-013860
10-Q2020-08-14fiscal Q2 202012340001558370-20-010596
10-Q2020-05-15fiscal Q1 202011240001558370-20-006709
10-K2020-03-26fiscal FY 201911230001558370-20-003165
10-Q2019-11-14fiscal Q3 201912420001558370-19-010982
10-Q2019-08-14fiscal Q2 201911370001558370-19-008122
10-Q2019-05-13fiscal Q1 201912230001558370-19-004903
10-K2019-03-18fiscal FY 201811210001144204-19-014404
10-Q2018-11-08fiscal Q3 201812390001144204-18-058409
10-Q2018-08-10fiscal Q2 201810360001144204-18-043417
10-Q2018-05-15fiscal Q1 20189210001144204-18-028318
10-K2018-03-27fiscal FY 20179190001144204-18-016967
10-Q2017-11-09fiscal Q3 20179350001144204-17-057689
10-Q2017-08-10fiscal Q2 20179350001144204-17-042028

5 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
ATEL 17, LLC / CIK 0001640982
Captured
2026-09-21T17:18:49.981Z
SEC response SHA-256
b852aaa43fd8229791d2f1d0016af6252bce6821febf1b08ab730719a681889f

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/0001640982.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"])))