Secoo Holding Limited: depreciation, depletion and amortization
Depreciation, depletion and amortization for Secoo Holding Limited. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Secoo Holding Limited financial histories
What this measure means
Combined depreciation, depletion and amortization for the period. A noncash allocation of asset cost, not a measure of maintenance spending.
Exact concept: us-gaap:DepreciationDepletionAndAmortization. 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 2017-01-01 to 2021-12-31. The SEC response was captured on 2026-09-22.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Coverage by original unit
- CNY: 2017-01-01 to 2021-12-31. This unit’s selected history ends more than two years before capture.
- USD: 2019-01-01 to 2021-12-31. This unit’s selected history ends more than two years before capture.
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 |
|---|---|---|---|---|---|
| 2021-01-01 | 2021-12-31 | 24,500,000 | CNY | 2022-05-13 | 20-F · 0001104659-22-059775 |
| 2020-01-01 | 2020-12-31 | 24,801,000 | CNY | 2022-05-13 | 20-F · 0001104659-22-059775 |
| 2019-01-01 | 2019-12-31 | 25,417,000 | CNY | 2022-05-13 | 20-F · 0001104659-22-059775 |
| 2018-01-01 | 2018-12-31 | 18,233,000 | CNY | 2021-11-09 | 20-F · 0001104659-21-136001 |
| 2017-01-01 | 2017-12-31 | 13,424,000 | CNY | 2020-06-11 | 20-F · 0001104659-20-072395 |
| 2021-01-01 | 2021-12-31 | 3,845,000 | USD | 2022-05-13 | 20-F · 0001104659-22-059775 |
| 2020-01-01 | 2020-12-31 | 3,801,000 | USD | 2021-11-09 | 20-F · 0001104659-21-136001 |
| 2019-01-01 | 2019-12-31 | 3,651,000 | USD | 2020-06-11 | 20-F · 0001104659-20-072395 |
Related Secoo Holding Limited histories
Inspect the source
- Entity
- Secoo Holding Limited / CIK 0001633441
- Captured
- SEC response SHA-256
2c23df652f151ede64e37d95752e727a582a7a85ba24b9853ba428bf6917bf6d
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/0001633441.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"])))