CATALYST BANCORP, INC.: total assets
Total assets for CATALYST BANCORP, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All CATALYST BANCORP, INC. financial histories
What this measure means
Resources recognized on the balance sheet. Book assets are not the market value of the business.
Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2020-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 282,927,000 | USD | 2026-03-31 | 10-K · 0001104659-26-037676 |
| At date | 2024-12-31 | 276,697,000 | USD | 2026-03-31 | 10-K · 0001104659-26-037676 |
| At date | 2023-12-31 | 270,932,000 | USD | 2025-03-28 | 10-K · 0001558370-25-003964 |
| At date | 2022-12-31 | 263,362,000 | USD | 2024-03-28 | 10-K · 0001558370-24-004220 |
| At date | 2021-12-31 | 285,610,000 | USD | 2023-03-30 | 10-K · 0001558370-23-005015 |
| At date | 2020-12-31 | 224,688,000 | USD | 2022-03-29 | 10-K · 0001558370-22-004587 |
Related financial histories
- CATALYST BANCORP, INC.: total liabilities
- CATALYST BANCORP, INC.: stockholders equity
- CATALYST BANCORP, INC.: cash and cash equivalents
- CATALYST BANCORP, INC.: net income or loss
- CATALYST BANCORP, INC.: operating cash flow
- CATALYST BANCORP, INC.: capital expenditure payments
- CATALYST BANCORP, INC.: financing cash flow
- CATALYST BANCORP, INC.: investing cash flow
- CATALYST BANCORP, INC.: retained earnings or deficit
- CATALYST BANCORP, INC.: basic weighted-average shares
- CATALYST BANCORP, INC.: diluted weighted-average shares
- CATALYST BANCORP, INC.: basic earnings per share
- CATALYST BANCORP, INC.: diluted earnings per share
- CATALYST BANCORP, INC.: income tax expense or benefit
- CATALYST BANCORP, INC.: net property, plant and equipment
- CATALYST BANCORP, INC.: share-based compensation expense
- CATALYST BANCORP, INC.: interest expense
- CATALYST BANCORP, INC.: common-stock repurchase payments
Inspect the source
- Entity
- CATALYST BANCORP, INC. / CIK 0001849867
- Captured
- 2026-09-21T17:30:44.895Z
- SEC response SHA-256
2702715ea41d3fefef4711c73dcb1ca7c7db3b4d42bb37ee594c80d7ce6027a9
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/0001849867.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"])))