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Arboretum Silverleaf Income Fund, L.P.: filings

Every Arboretum Silverleaf Income Fund, L.P. annual and quarterly report in the SEC record with the published financial measures it tagged, 33 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-K2026-03-02fiscal FY 202412220001493152-26-008480
10-Q2026-03-02fiscal Q3 202412340001493152-26-008478
10-Q2026-03-02fiscal Q2 202412320001493152-26-008476
10-Q2026-03-02fiscal Q1 202412220001493152-26-008472
10-K2026-03-02fiscal FY 202312230001493152-26-008470
10-Q2023-11-14fiscal Q3 202314390001493152-23-041015
10-Q2023-08-14fiscal Q2 202314370001493152-23-028273
10-Q2023-05-15fiscal Q1 202313250001493152-23-017174
10-K2023-03-31fiscal FY 202214270001493152-23-010017
10-Q2022-11-14fiscal Q3 202213390001493152-22-031769
10-Q2022-08-15fiscal Q2 202213370001493152-22-022697
10-Q2022-05-16fiscal Q1 202213250001493152-22-013909
10-K2022-03-31fiscal FY 202116300001493152-22-008307
10-Q2021-11-15fiscal Q3 202115440001493152-21-028707
10-Q2021-08-16fiscal Q2 202115420001493152-21-020089
10-Q2021-05-14fiscal Q1 202115270001493152-21-011492
10-K2021-03-31fiscal FY 202017400001493152-21-007424
10-Q2020-11-12fiscal Q3 202014430001493152-20-021079
10-Q2020-08-13fiscal Q2 202014410001493152-20-015532
10-Q2020-05-14fiscal Q1 202014260001493152-20-008696
10-K2020-03-27fiscal FY 201916380001493152-20-004896
10-Q2019-11-14fiscal Q3 201913370001493152-19-017255
10-Q2019-08-14fiscal Q2 201912330001493152-19-012405
10-Q2019-05-15fiscal Q1 201912250001493152-19-007361
10-K2019-03-28fiscal FY 201813340001493152-19-004117
10-Q2018-11-14fiscal Q3 201811310001493152-18-015933
10-Q2018-08-14fiscal Q2 201811310001493152-18-011696
10-Q2018-05-14fiscal Q1 201811220001493152-18-006828
10-K2018-03-29fiscal FY 201712280001493152-18-004161
10-Q2017-11-13fiscal Q3 201710170001493152-17-012929
10-Q2017-08-11fiscal Q2 201710170001493152-17-008953
10-Q2017-05-12fiscal Q1 20179120001493152-17-005124
10-K2017-03-31fiscal FY 201611120001493152-17-003147

1 further filing tags fewer than eight published concepts and has no page.

Inspect the source

Entity
Arboretum Silverleaf Income Fund, L.P. / CIK 0001672773
Captured
2026-09-21T17:19:03.476Z
SEC response SHA-256
f798711c7cf9c771b038cf184c7c64f7c3381c8ed0770e7df734b7489ab8bb5a

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/0001672773.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"])))