AGENCIA COMERCIAL SPIRITS LTD: cost of revenue
Cost of revenue for AGENCIA COMERCIAL SPIRITS LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All AGENCIA COMERCIAL SPIRITS LTD financial histories
What this measure means
Costs attributed to goods produced and sold and services provided during the period. This is not the sum of every operating expense.
Exact concept: us-gaap:CostOfRevenue. 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 | 4,317,501 | USD | 2026-04-30 | 20-F · 0001213900-26-050040 |
| 2024-01-01 | 2024-12-31 | 1,272,440 | USD | 2026-04-30 | 20-F · 0001213900-26-050040 |
| 2023-01-01 | 2023-12-31 | 523,377 | USD | 2026-04-30 | 20-F · 0001213900-26-050040 |
Related financial histories
- AGENCIA COMERCIAL SPIRITS LTD: stockholders equity
- AGENCIA COMERCIAL SPIRITS LTD: net income or loss
- AGENCIA COMERCIAL SPIRITS LTD: operating cash flow
- AGENCIA COMERCIAL SPIRITS LTD: revenue
- AGENCIA COMERCIAL SPIRITS LTD: financing cash flow
- AGENCIA COMERCIAL SPIRITS LTD: basic weighted-average shares
- AGENCIA COMERCIAL SPIRITS LTD: basic earnings per share
- AGENCIA COMERCIAL SPIRITS LTD: diluted earnings per share
- AGENCIA COMERCIAL SPIRITS LTD: income tax expense or benefit
- AGENCIA COMERCIAL SPIRITS LTD: operating income or loss
- AGENCIA COMERCIAL SPIRITS LTD: operating expenses
- AGENCIA COMERCIAL SPIRITS LTD: gross profit
Inspect the source
- Entity
- AGENCIA COMERCIAL SPIRITS LTD / CIK 0002060016
- Captured
- 2026-09-21T17:41:05.904Z
- SEC response SHA-256
3d6154011816790b76273c487625f16e6d168a4d892e18ea505e06b9a304b795
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/0002060016.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"])))