WNC HOUSING TAX CREDIT FUND VI LP SERIES 7: 10-K filed 2019-06-26
What WNC HOUSING TAX CREDIT FUND VI LP SERIES 7 reported in its annual report filed 2019-06-26 (fiscal FY 2019): 11 published measures, 77 facts as tagged in accession 0001654954-19-007669.
This filing
- Form
- 10-K (annual report)
- Filed
- 2019-06-26
- Fiscal period
- fiscal FY 2019
- Accession
- 0001654954-19-007669 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 WNC HOUSING TAX CREDIT FUND VI LP SERIES 7 filings.
Reported measures
Total assets
Resources recognized on the balance sheet. Book assets are not the market value of the business.
| Period | Value | Unit | Days |
|---|---|---|---|
| At 2019-03-31 | 530,715 | USD | |
| At 2018-03-31 | 786,160 | USD |
Total liabilities
Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.
| Period | Value | Unit | Days |
|---|---|---|---|
| At 2019-03-31 | 45,199 | USD | |
| At 2018-03-31 | 60,103 | USD |
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.
| Period | Value | Unit | Days |
|---|---|---|---|
| At 2019-03-31 | 501,793 | USD | |
| At 2018-03-31 | 785,098 | USD | |
| At 2017-03-31 | 278,964 | USD | |
| At 2016-03-31 | 213,363 | USD |
Net income or loss
Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2019-01-01 to 2019-03-31 | -14,000 | USD | 90 |
| 2018-04-01 to 2019-03-31 | -240,541 | USD | 365 |
| 2018-10-01 to 2018-12-31 | -38,000 | USD | 92 |
| 2018-07-01 to 2018-09-30 | -154,000 | USD | 92 |
| 2018-04-01 to 2018-06-30 | -35,000 | USD | 91 |
| 2018-01-01 to 2018-03-31 | -22,000 | USD | 90 |
| 2017-04-01 to 2018-03-31 | 594,291 | USD | 365 |
| 2017-10-01 to 2017-12-31 | -34,000 | USD | 92 |
| 2017-07-01 to 2017-09-30 | 661,000 | USD | 92 |
| 2017-04-01 to 2017-06-30 | -11,000 | USD | 91 |
| 2017-01-01 to 2017-03-31 | 48,000 | USD | 90 |
| 2016-04-01 to 2017-03-31 | 110,172 | USD | 365 |
| 2016-10-01 to 2016-12-31 | 22,000 | USD | 92 |
| 2016-07-01 to 2016-09-30 | 66,000 | USD | 92 |
| 2016-04-01 to 2016-06-30 | -26,000 | USD | 91 |
Operating cash flow
Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2018-04-01 to 2019-03-31 | -283,305 | USD | 365 |
| 2017-04-01 to 2018-03-31 | -10,231 | USD | 365 |
| 2016-04-01 to 2017-03-31 | -33,486 | USD | 365 |
Revenue
Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2019-01-01 to 2019-03-31 | 0 | USD | 90 |
| 2018-10-01 to 2018-12-31 | 0 | USD | 92 |
| 2018-07-01 to 2018-09-30 | 1,000 | USD | 92 |
| 2018-04-01 to 2018-06-30 | 19,000 | USD | 91 |
| 2018-01-01 to 2018-03-31 | 0 | USD | 90 |
| 2017-10-01 to 2017-12-31 | 0 | USD | 92 |
| 2017-07-01 to 2017-09-30 | 192,000 | USD | 92 |
| 2017-04-01 to 2017-06-30 | 0 | USD | 91 |
| 2017-01-01 to 2017-03-31 | 0 | USD | 90 |
| 2016-10-01 to 2016-12-31 | 0 | USD | 92 |
| 2016-07-01 to 2016-09-30 | 103,000 | USD | 92 |
| 2016-04-01 to 2016-06-30 | 9,000 | USD | 91 |
Investing cash flow
Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2018-04-01 to 2019-03-31 | 0 | USD | 365 |
| 2017-04-01 to 2018-03-31 | 516,365 | USD | 365 |
| 2016-04-01 to 2017-03-31 | 99,087 | USD | 365 |
Operating income or loss
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2019-01-01 to 2019-03-31 | -14,000 | USD | 90 |
| 2018-04-01 to 2019-03-31 | -241,149 | USD | 365 |
| 2018-10-01 to 2018-12-31 | -38,000 | USD | 92 |
| 2018-07-01 to 2018-09-30 | -154,000 | USD | 92 |
| 2018-04-01 to 2018-06-30 | -35,000 | USD | 91 |
| 2018-01-01 to 2018-03-31 | -22,000 | USD | 90 |
| 2017-04-01 to 2018-03-31 | 77,688 | USD | 365 |
| 2017-10-01 to 2017-12-31 | -52,000 | USD | 92 |
| 2017-07-01 to 2017-09-30 | 162,000 | USD | 92 |
| 2017-04-01 to 2017-06-30 | -11,000 | USD | 91 |
| 2017-01-01 to 2017-03-31 | -16,000 | USD | 90 |
| 2016-04-01 to 2017-03-31 | 10,994 | USD | 365 |
| 2016-10-01 to 2016-12-31 | -13,000 | USD | 92 |
| 2016-07-01 to 2016-09-30 | 66,000 | USD | 92 |
| 2016-04-01 to 2016-06-30 | -26,000 | USD | 91 |
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.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2019-01-01 to 2019-03-31 | 14,000 | USD | 90 |
| 2018-04-01 to 2019-03-31 | 261,359 | USD | 365 |
| 2018-10-01 to 2018-12-31 | 38,000 | USD | 92 |
| 2018-07-01 to 2018-09-30 | 155,000 | USD | 92 |
| 2018-04-01 to 2018-06-30 | 54,000 | USD | 91 |
| 2018-01-01 to 2018-03-31 | 22,000 | USD | 90 |
| 2017-04-01 to 2018-03-31 | 114,706 | USD | 365 |
| 2017-10-01 to 2017-12-31 | 52,000 | USD | 92 |
| 2017-07-01 to 2017-09-30 | 30,000 | USD | 92 |
| 2017-04-01 to 2017-06-30 | 11,000 | USD | 91 |
| 2017-01-01 to 2017-03-31 | -16,000 | USD | 90 |
| 2016-04-01 to 2017-03-31 | 101,475 | USD | 365 |
| 2016-10-01 to 2016-12-31 | -13,000 | USD | 92 |
| 2016-07-01 to 2016-09-30 | -37,000 | USD | 92 |
| 2016-04-01 to 2016-06-30 | -35,000 | USD | 91 |
Gross profit
Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2018-04-01 to 2019-03-31 | 20,210 | USD | 365 |
| 2017-04-01 to 2018-03-31 | 192,394 | USD | 365 |
| 2016-04-01 to 2017-03-31 | 112,469 | USD | 365 |
Income taxes paid, net
Cash income taxes paid net of refunds during the period. It differs from income tax expense and can reflect prior years and estimated payments.
| Period | Value | Unit | Days |
|---|---|---|---|
| 2018-04-01 to 2019-03-31 | 800 | USD | 365 |
| 2017-04-01 to 2018-03-31 | 800 | USD | 365 |
| 2016-04-01 to 2017-03-31 | 800 | USD | 365 |
Inspect the source
- Entity
- WNC HOUSING TAX CREDIT FUND VI LP SERIES 7 / CIK 0001084067
- Captured
- SEC response SHA-256
1785e4886c96eb01e5c040d5f02fd182db46ccf3d096e4f5de384d327c0b0897
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001084067.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"])))