Skip to content

WNC HOUSING TAX CREDIT FUND VI LP SERIES 10: filings

Every WNC HOUSING TAX CREDIT FUND VI LP SERIES 10 annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2019-02-12

The latest filing in this captured record is a 10-Q filed 2019-02-12. No later filing is in the SEC companyfacts record captured on 2026-09-23. WNC HOUSING TAX CREDIT FUND VI LP SERIES 10 may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2019-02-12fiscal Q3 201911320001654954-19-001310
10-Q2018-10-24fiscal Q2 201911320001654954-18-011509
10-Q2018-07-31fiscal Q1 201911240001654954-18-008236
10-K2018-06-27fiscal FY 201810650001654954-18-007004
10-Q2018-02-06fiscal Q3 201811320001654954-18-001114
10-Q2017-11-16fiscal Q2 201811320001654954-17-010800
10-Q2017-08-14fiscal Q1 201810220001654954-17-007542
10-K2017-06-23fiscal FY 201710650001654954-17-005840
10-Q2017-02-08fiscal Q3 201710300001654954-17-000860
10-Q2016-11-14fiscal Q2 201710300001654954-16-003922
10-Q2016-08-15fiscal Q1 20178180001654954-16-001575
10-K2016-06-07fiscal FY 201610650001354488-16-007755
10-Q2016-02-11fiscal Q3 201610300001354488-16-006167
10-Q2015-11-06fiscal Q2 201610300001354488-15-004852
10-Q2015-08-14fiscal Q1 20169200001354488-15-003836
10-K2015-06-19fiscal FY 201510650001354488-15-003073
10-Q2015-02-13fiscal Q3 201510300001354488-15-000644
10-Q2014-11-13fiscal Q2 20159260001493152-14-003679
10-Q2014-08-12fiscal Q1 20158180001493152-14-002472
10-K2014-06-25fiscal FY 201411650001493152-14-002011
10-Q2014-01-28fiscal Q3 20139260001493152-14-000243
10-Q2013-11-12fiscal Q2 20139260001493152-13-002283
10-Q2013-08-08fiscal Q1 201310210001493152-13-001485
10-K2013-06-11fiscal FY 201211720001493152-13-001148
10-Q2013-02-08fiscal Q3 201211300001493152-13-000205
10-Q2012-11-09fiscal Q2 20129270001493152-12-001559
10-K2012-06-21fiscal FY 20118230001493152-12-000660
10-Q2012-02-13fiscal Q3 20118240001019687-12-000454

3 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
WNC HOUSING TAX CREDIT FUND VI LP SERIES 10 / CIK 0001156815
Captured
SEC response SHA-256
ca40a2c51abd08577e76f5ba955fb81c10bc8903a60db1eda5176743b45545e4

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/0001156815.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"])))