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SFL Corporation Ltd.: filings

Every SFL Corporation Ltd. annual and quarterly report in the SEC record with the published financial measures it tagged, 16 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
20-F2026-03-16fiscal FY 2025441160001289877-26-000008
20-F2025-03-17fiscal FY 2024421110001289877-25-000013
20-F2024-03-14fiscal FY 2023391060001289877-24-000009
20-F2023-03-16fiscal FY 202236980001289877-23-000010
20-F2022-03-24fiscal FY 202135960001289877-22-000013
20-F2021-03-22fiscal FY 202035950001289877-21-000008
20-F2020-03-27fiscal FY 201935930001628280-20-004243
20-F2019-03-26fiscal FY 201837950001289877-19-000009
20-F2018-03-26fiscal FY 201733900001289877-18-000005
20-F2017-04-13fiscal FY 201632890001289877-17-000009
20-F2016-04-01fiscal FY 201532890001628280-16-013980
20-F2015-04-09fiscal FY 201432890001289877-15-000012
20-F2014-03-28fiscal FY 201332860001289877-14-000015
20-F2013-04-17fiscal FY 201232860001445305-13-000837
20-F2012-04-27fiscal FY 201132870000919574-12-002937
20-F2011-03-25fiscal FY 201026720000919574-11-002500

Inspect the source

Entity
SFL Corporation Ltd. / CIK 0001289877
Captured
2026-09-19T11:17:18.205Z
SEC response SHA-256
2accd1be89a853869fcafe631e9a1df385cac7837c48fe5dc2e86fe2a6b67188

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/0001289877.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"])))