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United States Diesel-Heating Oil Fund, LP: 10-Q filed 2017-11-13

What United States Diesel-Heating Oil Fund, LP reported in its quarterly report filed 2017-11-13 (fiscal Q3 2017): 8 published measures, 24 facts as tagged in accession 0001144204-17-058262.

This filing

Form
10-Q (quarterly report)
Filed
2017-11-13
Fiscal period
fiscal Q3 2017
Accession
0001144204-17-058262 on SEC EDGAR

Values are as tagged in this filing. A later filing can restate them; a measure with a published history links to it, and the history shows the latest-filed value per period. All United States Diesel-Heating Oil Fund, LP filings.

Reported measures

Total assets

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

PeriodValueUnitDays
At 2017-09-306,862,328USD
At 2016-12-316,813,528USD

Total liabilities

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

PeriodValueUnitDays
At 2017-09-3048,860USD
At 2016-12-3175,165USD

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 2017-09-305,114,007USD
At 2016-12-315,923,778USD
At 2016-09-304,307,864USD
At 2015-12-312,467,765USD

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
2017-07-01 to 2017-09-30696,583USD92
2017-01-01 to 2017-09-30-243,121USD273
2016-07-01 to 2016-09-3048,685USD92
2016-01-01 to 2016-09-30837,321USD274

Operating cash flow

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

PeriodValueUnitDays
2017-01-01 to 2017-09-30-1,127,997USD273
2016-01-01 to 2016-09-30366,717USD274

Revenue

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

PeriodValueUnitDays
2017-07-01 to 2017-09-30703,448USD92
2017-01-01 to 2017-09-30-218,439USD273
2016-07-01 to 2016-09-3056,074USD92
2016-01-01 to 2016-09-30857,100USD274

Financing cash flow

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

PeriodValueUnitDays
2017-01-01 to 2017-09-30318,226USD273
2016-01-01 to 2016-09-301,473,382USD274

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
2017-07-01 to 2017-09-3022,450USD92
2017-01-01 to 2017-09-3076,132USD273
2016-07-01 to 2016-09-3036,553USD92
2016-01-01 to 2016-09-3094,391USD274

Inspect the source

Entity
United States Diesel-Heating Oil Fund, LP / CIK 0001396877
Captured
SEC response SHA-256
8c100a09b9fa03d9210fbee0a19078c5103e76bcbe9ad94cacd2f6fe0c129e06

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.

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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/0001396877.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"])))