MCGRAW HILL, INC.: contract revenue excluding tax
Contract revenue excluding tax for MCGRAW HILL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All MCGRAW HILL, 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 2023-04-01 to 2026-03-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-04-01 | 2026-03-31 | 2,102,781,000 | USD | 2026-06-11 | 10-K · 0001951070-26-000022 |
| 2024-04-01 | 2025-03-31 | 2,101,299,000 | USD | 2026-06-11 | 10-K · 0001951070-26-000022 |
| 2023-04-01 | 2024-03-31 | 1,960,478,000 | USD | 2026-06-11 | 10-K · 0001951070-26-000022 |
Related financial histories
- MCGRAW HILL, INC.: stockholders equity
- MCGRAW HILL, INC.: net income or loss
- MCGRAW HILL, INC.: operating cash flow
- MCGRAW HILL, INC.: capital expenditure payments
- MCGRAW HILL, INC.: financing cash flow
- MCGRAW HILL, INC.: investing cash flow
- MCGRAW HILL, INC.: basic weighted-average shares
- MCGRAW HILL, INC.: diluted weighted-average shares
- MCGRAW HILL, INC.: basic earnings per share
- MCGRAW HILL, INC.: diluted earnings per share
- MCGRAW HILL, INC.: income tax expense or benefit
- MCGRAW HILL, INC.: share-based compensation expense
- MCGRAW HILL, INC.: operating income or loss
- MCGRAW HILL, INC.: goodwill carrying amount
- MCGRAW HILL, INC.: operating expenses
- MCGRAW HILL, INC.: gross profit
- MCGRAW HILL, INC.: research and development expense
Inspect the source
- Entity
- MCGRAW HILL, INC. / CIK 0001951070
- Captured
- 2026-09-21T17:37:54.796Z
- SEC response SHA-256
d7f69a6bf52e27afafb76db4f668aa35e27dc4f77f2eecf078e7a969d5552b9a
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/0001951070.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"])))