Beta Bionics, Inc.: stockholders equity
Stockholders equity for Beta Bionics, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Beta Bionics, Inc. financial histories
What this measure means
The reported residual interest after liabilities. It is an accounting amount, not market capitalization.
Exact concept: us-gaap:StockholdersEquity. 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 2022-12-31 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 | 287,610,000 | USD | 2026-02-24 | 10-K · 0001193125-26-067065 |
| At date | 2024-12-31 | -245,360,000 | USD | 2026-02-24 | 10-K · 0001193125-26-067065 |
| At date | 2023-12-31 | -203,105,000 | USD | 2026-02-24 | 10-K · 0001193125-26-067065 |
| At date | 2022-12-31 | -170,034,000 | USD | 2025-03-28 | 10-K/A · 0000950170-25-046762 |
Related financial histories
- Beta Bionics, Inc.: total assets
- Beta Bionics, Inc.: total liabilities
- Beta Bionics, Inc.: cash and cash equivalents
- Beta Bionics, Inc.: net income or loss
- Beta Bionics, Inc.: operating cash flow
- Beta Bionics, Inc.: capital expenditure payments
- Beta Bionics, Inc.: contract revenue excluding tax
- Beta Bionics, Inc.: financing cash flow
- Beta Bionics, Inc.: investing cash flow
- Beta Bionics, Inc.: retained earnings or deficit
- Beta Bionics, Inc.: basic weighted-average shares
- Beta Bionics, Inc.: diluted weighted-average shares
- Beta Bionics, Inc.: basic earnings per share
- Beta Bionics, Inc.: diluted earnings per share
- Beta Bionics, Inc.: net property, plant and equipment
- Beta Bionics, Inc.: share-based compensation expense
- Beta Bionics, Inc.: operating income or loss
- Beta Bionics, Inc.: current assets
- Beta Bionics, Inc.: current liabilities
- Beta Bionics, Inc.: current accounts payable
- Beta Bionics, Inc.: net current accounts receivable
- Beta Bionics, Inc.: operating expenses
- Beta Bionics, Inc.: net inventory
- Beta Bionics, Inc.: gross profit
- Beta Bionics, Inc.: research and development expense
Inspect the source
- Entity
- Beta Bionics, Inc. / CIK 0001674632
- Captured
- 2026-09-21T17:23:01.553Z
- SEC response SHA-256
ea0ede80558560283ad0ab926b0355b96aa63ba2522803f570554a71efd0beb2
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/0001674632.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"])))