Pyxis Oncology, Inc.: current assets
Current assets for Pyxis Oncology, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Pyxis Oncology, Inc. financial histories
What this measure means
Assets classified as current under the normal operating cycle or one-year boundary. Not all current assets can be converted immediately into cash.
Exact concept: us-gaap:AssetsCurrent. 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 | 72,105,000 | USD | 2026-03-23 | 10-K · 0001193125-26-118532 |
| At date | 2024-12-31 | 132,440,000 | USD | 2026-03-23 | 10-K · 0001193125-26-118532 |
| At date | 2023-12-31 | 124,604,000 | USD | 2025-03-18 | 10-K · 0000950170-25-040771 |
| At date | 2022-12-31 | 186,612,000 | USD | 2024-03-21 | 10-K · 0000950170-24-034868 |
| At date | 2021-12-31 | 278,673,000 | USD | 2023-03-22 | 10-K · 0000950170-23-009046 |
| At date | 2020-12-31 | 8,103,000 | USD | 2022-03-29 | 10-K · 0000950170-22-004850 |
Related financial histories
- Pyxis Oncology, Inc.: total assets
- Pyxis Oncology, Inc.: total liabilities
- Pyxis Oncology, Inc.: stockholders equity
- Pyxis Oncology, Inc.: cash and cash equivalents
- Pyxis Oncology, Inc.: net income or loss
- Pyxis Oncology, Inc.: operating cash flow
- Pyxis Oncology, Inc.: capital expenditure payments
- Pyxis Oncology, Inc.: financing cash flow
- Pyxis Oncology, Inc.: investing cash flow
- Pyxis Oncology, Inc.: retained earnings or deficit
- Pyxis Oncology, Inc.: basic weighted-average shares
- Pyxis Oncology, Inc.: diluted weighted-average shares
- Pyxis Oncology, Inc.: basic earnings per share
- Pyxis Oncology, Inc.: diluted earnings per share
- Pyxis Oncology, Inc.: net property, plant and equipment
- Pyxis Oncology, Inc.: share-based compensation expense
- Pyxis Oncology, Inc.: operating income or loss
- Pyxis Oncology, Inc.: current liabilities
- Pyxis Oncology, Inc.: current accounts payable
- Pyxis Oncology, Inc.: operating expenses
- Pyxis Oncology, Inc.: research and development expense
Inspect the source
- Entity
- Pyxis Oncology, Inc. / CIK 0001782223
- Captured
- 2026-09-21T17:27:12.583Z
- SEC response SHA-256
32fd2b46be4877ba99e8326148367ea11f2202e6e97b4fc43d3f52b5da719e61
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/0001782223.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"])))