Pattern Group Inc.: contract revenue excluding tax
Contract revenue excluding tax for Pattern Group Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Pattern Group Inc. financial histories
What this measure means
Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.
Exact concept: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax. 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 2023-01-01 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 | 2,501,315,000 | USD | 2026-03-06 | 10-K · 0001811935-26-000013 |
| 2024-01-01 | 2024-12-31 | 1,796,161,000 | USD | 2026-03-06 | 10-K · 0001811935-26-000013 |
| 2023-01-01 | 2023-12-31 | 1,366,417,000 | USD | 2026-03-06 | 10-K · 0001811935-26-000013 |
Related financial histories
- Pattern Group Inc.: stockholders equity
- Pattern Group Inc.: net income or loss
- Pattern Group Inc.: operating cash flow
- Pattern Group Inc.: capital expenditure payments
- Pattern Group Inc.: financing cash flow
- Pattern Group Inc.: investing cash flow
- Pattern Group Inc.: basic weighted-average shares
- Pattern Group Inc.: diluted weighted-average shares
- Pattern Group Inc.: basic earnings per share
- Pattern Group Inc.: diluted earnings per share
- Pattern Group Inc.: income tax expense or benefit
- Pattern Group Inc.: share-based compensation expense
- Pattern Group Inc.: operating income or loss
- Pattern Group Inc.: goodwill carrying amount
- Pattern Group Inc.: common-stock repurchase payments
- Pattern Group Inc.: research and development expense
Inspect the source
- Entity
- Pattern Group Inc. / CIK 0001811935
- Captured
- 2026-09-21T17:28:34.337Z
- SEC response SHA-256
4756ea1f42d3f2597f472746f98245afe92abb920ec3bc95e4fa2a1675b678fd
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/0001811935.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"])))