Bluejay Diagnostics, Inc.: operating cash flow
Operating cash flow for Bluejay Diagnostics, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Bluejay Diagnostics, Inc. financial histories
What this measure means
Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.
Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2020-01-01 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 |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | -6,053,575 | USD | 2026-03-06 | 10-K · 0001213900-26-024616 |
| 2024-01-01 | 2024-12-31 | -7,820,822 | USD | 2026-03-06 | 10-K · 0001213900-26-024616 |
| 2023-01-01 | 2023-12-31 | -8,313,870 | USD | 2025-03-31 | 10-K · 0001213900-25-026275 |
| 2022-01-01 | 2022-12-31 | -7,741,593 | USD | 2024-03-28 | 10-K · 0001213900-24-027305 |
| 2021-01-01 | 2021-12-31 | -4,366,758 | USD | 2023-03-20 | 10-K · 0001213900-23-021454 |
| 2020-01-01 | 2020-12-31 | -508,710 | USD | 2022-03-10 | 10-K · 0001213900-22-011417 |
Related financial histories
- Bluejay Diagnostics, Inc.: total assets
- Bluejay Diagnostics, Inc.: total liabilities
- Bluejay Diagnostics, Inc.: stockholders equity
- Bluejay Diagnostics, Inc.: cash and cash equivalents
- Bluejay Diagnostics, Inc.: net income or loss
- Bluejay Diagnostics, Inc.: capital expenditure payments
- Bluejay Diagnostics, Inc.: financing cash flow
- Bluejay Diagnostics, Inc.: investing cash flow
- Bluejay Diagnostics, Inc.: retained earnings or deficit
- Bluejay Diagnostics, Inc.: basic weighted-average shares
- Bluejay Diagnostics, Inc.: diluted weighted-average shares
- Bluejay Diagnostics, Inc.: basic earnings per share
- Bluejay Diagnostics, Inc.: diluted earnings per share
- Bluejay Diagnostics, Inc.: net property, plant and equipment
- Bluejay Diagnostics, Inc.: share-based compensation expense
- Bluejay Diagnostics, Inc.: operating income or loss
- Bluejay Diagnostics, Inc.: current assets
- Bluejay Diagnostics, Inc.: current liabilities
- Bluejay Diagnostics, Inc.: current accounts payable
- Bluejay Diagnostics, Inc.: operating expenses
- Bluejay Diagnostics, Inc.: research and development expense
Inspect the source
- Entity
- Bluejay Diagnostics, Inc. / CIK 0001704287
- Captured
- 2026-09-21T17:24:11.325Z
- SEC response SHA-256
7b576f6ad0703490f74bfda11e23abf7bf7547bf44a012503e93b7ff7bb8b6a6
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/0001704287.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"])))