POMDOCTOR Ltd: research and development expense
Research and development expense for POMDOCTOR Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All POMDOCTOR Ltd financial histories
What this measure means
Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.
Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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.
Coverage by original unit
- CNY: 2023-01-01 to 2025-12-31.
- USD: 2025-01-01 to 2025-12-31.
These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 12,864,656 | CNY | 2026-05-14 | 20-F · 0001213900-26-056576 |
| 2024-01-01 | 2024-12-31 | 3,002,040 | CNY | 2026-05-14 | 20-F · 0001213900-26-056576 |
| 2023-01-01 | 2023-12-31 | 3,370,945 | CNY | 2026-05-14 | 20-F · 0001213900-26-056576 |
| 2025-01-01 | 2025-12-31 | 1,839,621 | USD | 2026-05-14 | 20-F · 0001213900-26-056576 |
Related financial histories
- POMDOCTOR Ltd: cash and cash equivalents
- POMDOCTOR Ltd: operating cash flow
- POMDOCTOR Ltd: capital expenditure payments
- POMDOCTOR Ltd: revenue
- POMDOCTOR Ltd: financing cash flow
- POMDOCTOR Ltd: investing cash flow
- POMDOCTOR Ltd: retained earnings or deficit
- POMDOCTOR Ltd: basic weighted-average shares
- POMDOCTOR Ltd: diluted weighted-average shares
- POMDOCTOR Ltd: basic earnings per share
- POMDOCTOR Ltd: diluted earnings per share
- POMDOCTOR Ltd: operating income or loss
- POMDOCTOR Ltd: operating expenses
- POMDOCTOR Ltd: gross profit
- POMDOCTOR Ltd: cost of revenue
Inspect the source
- Entity
- POMDOCTOR Ltd / CIK 0001877971
- Captured
- 2026-09-21T17:34:35.398Z
- SEC response SHA-256
5fb584f9b4cb60e71d6b82683ae2bfb9ad81315e257a42ae7041a8627152a325
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001877971.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"])))