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ADVANCED OXYGEN TECHNOLOGIES, INC.: financing cash flow

Financing cash flow for ADVANCED OXYGEN TECHNOLOGIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ADVANCED OXYGEN TECHNOLOGIES, INC. financial histories

What this measure means

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

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2012-07-01 to 2025-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-30-89,819USD2025-09-1110-K · 0001477932-25-006652
2023-07-012024-06-30-52,989USD2025-09-1110-K · 0001477932-25-006652
2022-07-012023-06-30-29,166USD2024-09-1710-K · 0001477932-24-005762
2021-07-012022-06-30-33,278USD2023-08-2510-K · 0001477932-23-006462
2020-07-012021-06-30-33,504USD2022-09-2810-K · 0001477932-22-007245
2019-07-012020-06-30-35,383USD2021-09-2410-K · 0001731122-21-001546
2018-07-012019-06-30-26,282USD2020-08-2010-K · 0001731122-20-000902
2017-07-012018-06-30-32,907USD2019-08-1610-K · 0001731122-19-000497
2016-07-012017-06-30-25,857USD2018-09-2610-K · 0000352991-18-000009
2015-07-012016-06-30-7,699USD2017-09-2710-K · 0000352991-17-000007
2014-07-012015-06-30-60,055USD2016-10-1910-K · 0000352991-16-000021
2013-07-012014-06-30176,199USD2015-09-2910-K · 0000352991-15-000009
2012-07-012013-06-30-777USD2014-10-0310-K · 0000352991-14-000012

Related financial histories

Inspect the source

Entity
ADVANCED OXYGEN TECHNOLOGIES, INC. / CIK 0000352991
Captured
2026-09-19T14:57:13.072Z
SEC response SHA-256
5153194a6f819ef350892f1fe4b2a3d742337aaf701081ccd5803d9ace356acb

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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/0000352991.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"])))