SPRING VALLEY ACQUISITION CORP. II: current assets
Current assets for SPRING VALLEY ACQUISITION CORP. II. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SPRING VALLEY ACQUISITION CORP. II 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 2022-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | 556,713 | USD | 2025-04-11 | 10-K · 0001410578-25-000698 |
| At date | 2023-12-31 | 1,321,566 | USD | 2025-04-11 | 10-K · 0001410578-25-000698 |
| At date | 2022-12-31 | 2,059,746 | USD | 2024-03-29 | 10-K · 0001104659-24-041216 |
Related financial histories
- SPRING VALLEY ACQUISITION CORP. II: total assets
- SPRING VALLEY ACQUISITION CORP. II: total liabilities
- SPRING VALLEY ACQUISITION CORP. II: stockholders equity
- SPRING VALLEY ACQUISITION CORP. II: net income or loss
- SPRING VALLEY ACQUISITION CORP. II: operating cash flow
- SPRING VALLEY ACQUISITION CORP. II: retained earnings or deficit
- SPRING VALLEY ACQUISITION CORP. II: operating income or loss
- SPRING VALLEY ACQUISITION CORP. II: current liabilities
- SPRING VALLEY ACQUISITION CORP. II: current accounts payable
Inspect the source
- Entity
- SPRING VALLEY ACQUISITION CORP. II / CIK 0001843477
- Captured
- 2026-09-21T17:21:02.606Z
- SEC response SHA-256
c3f7ec7119ce1cd90fd0fad4cafe0e06150c75b12e0ce68c3f5070532d197d62
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/0001843477.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"])))