NERDY INC.: current accounts payable
Current accounts payable for NERDY INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NERDY INC. financial histories
What this measure means
Current amounts owed to suppliers for goods and services received. This is one component of current liabilities, not all accrued obligations.
Exact concept: us-gaap:AccountsPayableCurrent. 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 | 3,376,000 | USD | 2026-02-26 | 10-K · 0001819404-26-000015 |
| At date | 2024-12-31 | 2,555,000 | USD | 2026-02-26 | 10-K · 0001819404-26-000015 |
| At date | 2023-12-31 | 3,443,000 | USD | 2025-02-27 | 10-K · 0001819404-25-000009 |
| At date | 2022-12-31 | 3,199,000 | USD | 2024-02-27 | 10-K · 0001819404-24-000019 |
| At date | 2021-12-31 | 3,590,000 | USD | 2023-02-28 | 10-K · 0001819404-23-000013 |
| At date | 2020-12-31 | 4,446,000 | USD | 2022-02-28 | 10-K · 0001819404-22-000016 |
Related financial histories
- NERDY INC.: total assets
- NERDY INC.: total liabilities
- NERDY INC.: stockholders equity
- NERDY INC.: cash and cash equivalents
- NERDY INC.: net income or loss
- NERDY INC.: operating cash flow
- NERDY INC.: capital expenditure payments
- NERDY INC.: contract revenue excluding tax
- NERDY INC.: financing cash flow
- NERDY INC.: investing cash flow
- NERDY INC.: retained earnings or deficit
- NERDY INC.: basic weighted-average shares
- NERDY INC.: diluted weighted-average shares
- NERDY INC.: basic earnings per share
- NERDY INC.: diluted earnings per share
- NERDY INC.: income tax expense or benefit
- NERDY INC.: net property, plant and equipment
- NERDY INC.: share-based compensation expense
- NERDY INC.: operating income or loss
- NERDY INC.: current assets
- NERDY INC.: interest expense
- NERDY INC.: current liabilities
- NERDY INC.: net finite-lived intangible assets
- NERDY INC.: net current accounts receivable
- NERDY INC.: gross profit
Inspect the source
- Entity
- NERDY INC. / CIK 0001819404
- Captured
- 2026-09-21T17:29:02.232Z
- SEC response SHA-256
ac091aaa69fe43ca185dd2ff4f19ecf7e765a3ffcf37232e3f0b99beccc0ff48
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/0001819404.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"])))