Argan Inc: financing cash flow
Argan financing cash flow: -$42.6 million for the year ending 2026-01-31, down 63.4% on the year. 16 values since 2011, each linked to its SEC filing.
All Argan Inc financial histories
At a glance
Argan reported financing cash flow of -$42.6 million for the year ending 2026-01-31, down 63.4% from -$26.1 million a year earlier. Across the last five reported years it ranged from -$82.8 million (2023-01-31) to -$26.1 million (2024-01-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2010-02-01 to 2026-01-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-02-01 | 2026-01-31 | -42,592,000 | USD | 2026-03-26 | 10-K · 0001104659-26-035216 SEC |
| 2024-02-01 | 2025-01-31 | -26,060,000 | USD | 2026-03-26 | 10-K · 0001104659-26-035216 SEC |
| 2023-02-01 | 2024-01-31 | -26,050,000 | USD | 2026-03-26 | 10-K · 0001104659-26-035216 SEC |
| 2022-02-01 | 2023-01-31 | -82,803,000 | USD | 2025-03-27 | 10-K · 0001558370-25-003819 SEC |
| 2021-02-01 | 2022-01-31 | -34,608,000 | USD | 2024-04-11 | 10-K · 0001558370-24-004979 SEC |
| 2020-02-01 | 2021-01-31 | -45,406,000 | USD | 2023-04-17 | 10-K · 0001558370-23-006056 SEC |
| 2019-02-01 | 2020-01-31 | -13,991,000 | USD | 2022-04-13 | 10-K · 0001558370-22-005383 SEC |
| 2018-02-01 | 2019-01-31 | -15,540,000 | USD | 2021-04-14 | 10-K · 0001558370-21-004282 SEC |
| 2017-02-01 | 2018-01-31 | -13,622,000 | USD | 2020-04-14 | 10-K · 0001104659-20-046386 SEC |
| 2016-02-01 | 2017-01-31 | -8,859,000 | USD | 2019-04-10 | 10-K · 0001104659-19-020681 SEC |
| 2015-02-01 | 2016-01-31 | -8,646,000 | USD | 2018-04-11 | 10-K · 0001104659-18-023493 SEC |
| 2014-02-01 | 2015-01-31 | -28,297,000 | USD | 2017-04-11 | 10-K · 0001104659-17-022713 SEC |
| 2013-02-01 | 2014-01-31 | -6,669,000 | USD | 2016-04-15 | 10-K · 0001104659-16-111566 SEC |
| 2012-02-01 | 2013-01-31 | -5,683,000 | USD | 2014-04-15 | 10-K · 0001193125-14-142947 SEC |
| 2011-02-01 | 2012-01-31 | -6,273,000 | USD | 2014-04-15 | 10-K · 0001193125-14-142947 SEC |
| 2010-02-01 | 2011-01-31 | -1,715,000 | USD | 2012-04-13 | 10-K · 0001193125-12-161077 SEC |
Related ARGAN INC histories
Inspect the source
- Entity
- ARGAN INC / CIK 0000100591
- Captured
- SEC response SHA-256
ae837c47792a2cd0db770e3abc8bd739d0f79e137042f660c8fe230f54d68935
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
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- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000100591.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"])))