BIG SKY INDUSTRIAL INC.: financing cash flow
Financing cash flow for BIG SKY INDUSTRIAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BIG SKY INDUSTRIAL 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 11,726,000 | USD | 2026-03-13 | 10-K · 0001437749-26-008057 |
| 2024-01-01 | 2024-12-31 | -5,983,000 | USD | 2026-03-13 | 10-K · 0001437749-26-008057 |
| 2023-01-01 | 2023-12-31 | -9,358,000 | USD | 2025-03-13 | 10-K · 0001437749-25-007375 |
| 2022-01-01 | 2022-12-31 | 6,040,000 | USD | 2024-03-26 | 10-K · 0001437749-24-009440 |
| 2021-01-01 | 2021-12-31 | 5,046,000 | USD | 2023-04-13 | 10-K · 0001493152-23-012144 |
| 2020-01-01 | 2020-12-31 | 3,148,000 | USD | 2022-03-28 | 10-K · 0001493152-22-007884 |
| 2019-01-01 | 2019-12-31 | -1,165,000 | USD | 2021-03-26 | 10-K · 0001493152-21-006877 |
| 2018-01-01 | 2018-12-31 | 863,000 | USD | 2020-03-30 | 10-K · 0001493152-20-005194 |
| 2017-01-01 | 2017-12-31 | -50,000 | USD | 2019-09-16 | 10-K · 0001493152-19-014181 |
| 2016-01-01 | 2016-12-31 | 1,211,000 | USD | 2018-03-28 | 10-K · 0001493152-18-004053 |
| 2015-01-01 | 2015-12-31 | -154,000 | USD | 2018-03-28 | 10-K · 0001493152-18-004053 |
| 2014-01-01 | 2014-12-31 | -3,055,000 | USD | 2017-04-17 | 10-K · 0001615774-17-001735 |
| 2013-01-01 | 2013-12-31 | -10,821,000 | USD | 2016-04-14 | 10-K · 0001615774-16-004967 |
| 2012-01-01 | 2012-12-31 | -2,433,000 | USD | 2015-03-12 | 10-K · 0000101594-15-000002 |
| 2011-01-01 | 2011-12-31 | 21,558,000 | USD | 2014-03-12 | 10-K · 0000101594-14-000007 |
| 2010-01-01 | 2010-12-31 | 94,000 | USD | 2013-03-18 | 10-K · 0000101594-13-000008 |
| 2009-01-01 | 2009-12-31 | 5,267,000 | USD | 2012-03-14 | 10-K · 0000101594-12-000017 |
Related financial histories
- BIG SKY INDUSTRIAL INC.: total assets
- BIG SKY INDUSTRIAL INC.: total liabilities
- BIG SKY INDUSTRIAL INC.: stockholders equity
- BIG SKY INDUSTRIAL INC.: cash and cash equivalents
- BIG SKY INDUSTRIAL INC.: net income or loss
- BIG SKY INDUSTRIAL INC.: operating cash flow
- BIG SKY INDUSTRIAL INC.: capital expenditure payments
- BIG SKY INDUSTRIAL INC.: revenue
- BIG SKY INDUSTRIAL INC.: contract revenue excluding tax
- BIG SKY INDUSTRIAL INC.: investing cash flow
- BIG SKY INDUSTRIAL INC.: retained earnings or deficit
- BIG SKY INDUSTRIAL INC.: basic weighted-average shares
- BIG SKY INDUSTRIAL INC.: diluted weighted-average shares
- BIG SKY INDUSTRIAL INC.: basic earnings per share
- BIG SKY INDUSTRIAL INC.: diluted earnings per share
- BIG SKY INDUSTRIAL INC.: income tax expense or benefit
- BIG SKY INDUSTRIAL INC.: net property, plant and equipment
- BIG SKY INDUSTRIAL INC.: share-based compensation expense
- BIG SKY INDUSTRIAL INC.: operating income or loss
- BIG SKY INDUSTRIAL INC.: current assets
- BIG SKY INDUSTRIAL INC.: interest expense
- BIG SKY INDUSTRIAL INC.: current liabilities
- BIG SKY INDUSTRIAL INC.: current accounts payable
- BIG SKY INDUSTRIAL INC.: net current accounts receivable
- BIG SKY INDUSTRIAL INC.: common-stock repurchase payments
- BIG SKY INDUSTRIAL INC.: operating expenses
Inspect the source
- Entity
- BIG SKY INDUSTRIAL INC. / CIK 0000101594
- Captured
- 2026-09-19T14:53:54.827Z
- SEC response SHA-256
c9351c839b50c94e16e84c8dd6f25ce736d0e444a33f174b719e0eb7dc0b0bf7
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000101594.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"])))