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Arboretum Silverleaf Income Fund, L.P.: 10-Q filed 2019-11-14

What Arboretum Silverleaf Income Fund, L.P. reported in its quarterly report filed 2019-11-14 (fiscal Q3 2019): 13 published measures, 37 facts as tagged in accession 0001493152-19-017255.

This filing

Form
10-Q (quarterly report)
Filed
2019-11-14
Fiscal period
fiscal Q3 2019
Accession
0001493152-19-017255 on SEC EDGAR

Values are as tagged in this filing. A later filing can restate them; each measure links to its history page, which shows the latest-filed value per period. All Arboretum Silverleaf Income Fund, L.P. filings.

Reported measures

Total assets

Resources recognized on the balance sheet. Book assets are not the market value of the business.

PeriodValueUnitDays
At 2019-09-3019,618,334USD
At 2018-12-3114,696,840USD

Total liabilities

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

PeriodValueUnitDays
At 2019-09-301,237,367USD
At 2018-12-31846,112USD

Cash and cash equivalents

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

PeriodValueUnitDays
At 2019-09-301,301,574USD
At 2018-12-313,192,541USD

Net income or loss

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

PeriodValueUnitDays
2019-07-01 to 2019-09-30315,957USD92
2019-01-01 to 2019-09-30404,322USD273
2018-07-01 to 2018-09-3014,669USD92
2018-01-01 to 2018-09-30-156,790USD273

Operating cash flow

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

PeriodValueUnitDays
2019-01-01 to 2019-09-302,828,651USD273
2018-01-01 to 2018-09-301,002,902USD273

Contract revenue excluding tax

Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.

PeriodValueUnitDays
2019-07-01 to 2019-09-30688,197USD92
2019-01-01 to 2019-09-301,590,457USD273
2018-07-01 to 2018-09-30410,862USD92
2018-01-01 to 2018-09-30894,103USD273

Financing cash flow

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

PeriodValueUnitDays
2019-01-01 to 2019-09-304,281,265USD273
2018-01-01 to 2018-09-304,466,196USD273

Investing cash flow

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

PeriodValueUnitDays
2019-01-01 to 2019-09-30-9,000,883USD273
2018-01-01 to 2018-09-30-4,246,997USD273

Operating expenses

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

PeriodValueUnitDays
2019-07-01 to 2019-09-30372,240USD92
2019-01-01 to 2019-09-301,186,135USD273
2018-07-01 to 2018-09-30396,193USD92
2018-01-01 to 2018-09-301,050,893USD273

Long-term debt

Long-term borrowings under this concept, which can include the current portion depending on presentation. It is not total liabilities and may exclude leases and other obligations.

PeriodValueUnitDays
At 2019-09-302,796,758USD

Profit or loss including noncontrolling interests

Net income or loss including the portion attributable to noncontrolling interests. It can differ from the net income attributable to the parent that per-share figures use.

PeriodValueUnitDays
2019-07-01 to 2019-09-30315,957USD92
2019-01-01 to 2019-09-30404,322USD273
2018-07-01 to 2018-09-3014,669USD92
2018-01-01 to 2018-09-30-156,790USD273

General and administrative expense

General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.

PeriodValueUnitDays
2019-07-01 to 2019-09-3059,922USD92
2019-01-01 to 2019-09-30168,802USD273
2018-07-01 to 2018-09-3072,914USD92
2018-01-01 to 2018-09-30157,375USD273

Depreciation expense

Depreciation recognized for the period under this concept. It is a noncash allocation of asset cost and may exclude amortization and depletion reported elsewhere.

PeriodValueUnitDays
2019-07-01 to 2019-09-3099,462USD92
2019-01-01 to 2019-09-30247,958USD273
2018-07-01 to 2018-09-3023,912USD92
2018-01-01 to 2018-09-3071,692USD273

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.

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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"])))