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AMERICAN TAX CREDIT PROPERTIES III LP: 10-Q filed 2018-08-03

What AMERICAN TAX CREDIT PROPERTIES III LP reported in its quarterly report filed 2018-08-03 (fiscal Q1 2019): 8 published measures, 18 facts as tagged in accession 0001096906-18-000433.

This filing

Form
10-Q (quarterly report)
Filed
2018-08-03
Fiscal period
fiscal Q1 2019
Accession
0001096906-18-000433 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 AMERICAN TAX CREDIT PROPERTIES III LP filings.

Reported measures

Total assets

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

PeriodValueUnitDays
At 2018-06-29290,435USD
At 2018-03-30313,305USD

Total liabilities

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

PeriodValueUnitDays
At 2018-06-292,631,030USD
At 2018-03-302,635,962USD

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 2018-06-2925,355USD
At 2018-03-304,009USD
At 2017-06-2930,033USD
At 2017-03-3062,429USD

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
2018-03-31 to 2018-06-29-17,938USD91
2017-03-31 to 2017-06-29-17,426USD91

Operating cash flow

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

PeriodValueUnitDays
2018-03-31 to 2018-06-29-22,868USD91
2017-03-31 to 2017-06-29-261,723USD91

Revenue

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

PeriodValueUnitDays
2018-03-31 to 2018-06-291,798USD91
2017-03-31 to 2017-06-292,716USD91

Investing cash flow

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

PeriodValueUnitDays
2018-03-31 to 2018-06-2944,214USD91
2017-03-31 to 2017-06-29229,327USD91

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
2018-03-31 to 2018-06-2919,736USD91
2017-03-31 to 2017-06-2920,142USD91

Inspect the source

Entity
AMERICAN TAX CREDIT PROPERTIES III LP / CIK 0000856135
Captured
SEC response SHA-256
4a98acf953959cf96c600c541b057694e8c0f781974a82092bbd5a8781751e83

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/0000856135.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"])))