Sharing Economy International Inc.: research and development expense
Sharing Economy International research and development expense: $498.8 thousand for the year ending 2018-12-31, up 18.8% on the year. 8 values since 2011.
All Sharing Economy International Inc. financial histories
At a glance
Sharing Economy International reported research and development expense of $498.8 thousand for the year ending 2018-12-31, up 18.8% from $420.0 thousand a year earlier. Across the last five reported years it ranged from $98.8 thousand (2015-12-31) to $498.8 thousand (2018-12-31). That was 239.6% of revenue ($208.2 thousand) for the same year.
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2011-01-01 to 2018-12-31. The SEC response was captured on 2026-09-19.
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.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2018-01-01 | 2018-12-31 | 498,803 | USD | 2019-04-16 | 10-K · 0001213900-19-006530 SEC |
| 2017-01-01 | 2017-12-31 | 420,023 | USD | 2019-04-16 | 10-K · 0001213900-19-006530 SEC |
| 2016-01-01 | 2016-12-31 | 304,054 | USD | 2018-04-11 | 10-K · 0001213900-18-004297 SEC |
| 2015-01-01 | 2015-12-31 | 98,780 | USD | 2017-04-17 | 10-K · 0001213900-17-003901 SEC |
| 2014-01-01 | 2014-12-31 | 116,061 | USD | 2016-03-30 | 10-K · 0001213900-16-012046 SEC |
| 2013-01-01 | 2013-12-31 | 92,803 | USD | 2015-03-30 | 10-K · 0001213900-15-002209 SEC |
| 2012-01-01 | 2012-12-31 | 0 | USD | 2014-03-28 | 10-K · 0001213900-14-001839 SEC |
| 2011-01-01 | 2011-12-31 | 0 | USD | 2013-04-11 | 10-K · 0001213900-13-001752 SEC |
Related SHARING ECONOMY INTERNATIONAL INC. histories
Inspect the source
- Entity
- SHARING ECONOMY INTERNATIONAL INC. / CIK 0000819926
- Captured
- SEC response SHA-256
e0671f8dcb3c0f558c1c4052bef5dad418fa224d590f9737470d181e67f8ee01
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.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000819926.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"])))