374WATER INC.: net current accounts receivable
Net current accounts receivable for 374WATER INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All 374WATER INC. financial histories
What this measure means
Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.
Exact concept: us-gaap:AccountsReceivableNetCurrent. 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 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 668,903 | USD | 2026-03-31 | 10-K · 0001654954-26-003094 |
| At date | 2024-12-31 | 269,733 | USD | 2026-03-31 | 10-K · 0001654954-26-003094 |
| At date | 2023-12-31 | 64,792 | USD | 2025-03-28 | 10-K · 0001654954-25-003443 |
| At date | 2022-12-31 | 0 | USD | 2024-03-29 | 10-K · 0001654954-24-003957 |
Related financial histories
- 374WATER INC.: total assets
- 374WATER INC.: total liabilities
- 374WATER INC.: stockholders equity
- 374WATER INC.: cash and cash equivalents
- 374WATER INC.: net income or loss
- 374WATER INC.: operating cash flow
- 374WATER INC.: capital expenditure payments
- 374WATER INC.: revenue
- 374WATER INC.: financing cash flow
- 374WATER INC.: investing cash flow
- 374WATER INC.: retained earnings or deficit
- 374WATER INC.: diluted weighted-average shares
- 374WATER INC.: diluted earnings per share
- 374WATER INC.: net property, plant and equipment
- 374WATER INC.: share-based compensation expense
- 374WATER INC.: operating income or loss
- 374WATER INC.: current assets
- 374WATER INC.: interest expense
- 374WATER INC.: current liabilities
- 374WATER INC.: net finite-lived intangible assets
- 374WATER INC.: operating expenses
- 374WATER INC.: net inventory
- 374WATER INC.: gross profit
- 374WATER INC.: cost of revenue
- 374WATER INC.: research and development expense
Inspect the source
- Entity
- 374WATER INC. / CIK 0000933972
- Captured
- 2026-09-20T05:09:36.097Z
- SEC response SHA-256
91ff6988a66c246ac12356457efcfc9688bc7d3cd482bc1469b3e6a8c03f5040
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/0000933972.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"])))