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SUNLINK HEALTH SYSTEMS, INC.: financing cash flow

Financing cash flow for SUNLINK HEALTH SYSTEMS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SUNLINK HEALTH SYSTEMS, 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 2009-07-01 to 2024-06-30. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-07-012024-06-30-8,000USD2024-09-3010-K · 0000950170-24-110311
2022-07-012023-06-308,000USD2024-09-3010-K · 0000950170-24-110311
2021-07-012022-06-3015,000USD2023-09-2810-K · 0000950170-23-050285
2020-07-012021-06-30-35,000USD2022-09-2810-K · 0001564590-22-032555
2019-07-012020-06-3099,000USD2021-09-2710-K · 0001564590-21-049055
2018-07-012019-06-30-679,000USD2020-09-2910-K · 0001564590-20-044839
2017-07-012018-06-30-5,998,000USD2019-09-2710-K · 0001564590-19-035757
2016-07-012017-06-30-5,626,000USD2018-09-2510-K · 0001193125-18-282598
2015-07-012016-06-30-857,000USD2017-09-2810-K · 0001193125-17-297905
2014-07-012015-06-30-5,362,000USD2017-09-2810-K · 0001193125-17-297905
2013-07-012014-06-30-919,000USD2016-09-3010-K · 0001193125-16-726649
2012-07-012013-06-30-10,964,000USD2015-09-2510-K · 0001193125-15-328941
2011-07-012012-06-30-6,261,000USD2014-09-2610-K · 0001193125-14-354731
2010-07-012011-06-303,407,000USD2013-09-2710-K · 0001193125-13-382169
2009-07-012010-06-30-5,459,000USD2012-09-2010-K · 0001193125-12-398595

Related financial histories

Inspect the source

Entity
SUNLINK HEALTH SYSTEMS, INC. / CIK 0000096793
Captured
2026-09-21T17:16:42.230Z
SEC response SHA-256
085ba274a101d02b37f5559143ba697c61bb17955072105ba83f14ef514e70f9

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/0000096793.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"])))