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SCIENJOY HOLDING CORPORATION: research and development expense

Research and development expense for SCIENJOY HOLDING CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SCIENJOY HOLDING CORPORATION 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 2018-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

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

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3183,426,000CNY2026-04-2320-F · 0001213900-26-047123
2024-01-012024-12-3190,461,000CNY2026-04-2320-F · 0001213900-26-047123
2023-01-012023-12-3175,116,000CNY2026-04-2320-F · 0001213900-26-047123
2022-01-012022-12-3167,538,000CNY2025-04-2220-F · 0001213900-25-033951
2021-01-012021-12-3170,039,000CNY2024-04-2620-F · 0001213900-24-036648
2020-01-012020-12-3131,780,000CNY2023-04-2820-F · 0001213900-23-033466
2019-01-012019-12-3121,523,000CNY2022-05-1620-F · 0001213900-22-027184
2018-01-012018-12-3110,957,000CNY2021-05-0320-F · 0001213900-21-024136
2025-01-012025-12-3111,930,000USD2026-04-2320-F · 0001213900-26-047123
2024-01-012024-12-3112,393,000USD2025-04-2220-F · 0001213900-25-033951
2023-01-012023-12-3110,580,000USD2024-04-2620-F · 0001213900-24-036648
2022-01-012022-12-319,792,000USD2023-04-2820-F · 0001213900-23-033466
2021-01-012021-12-3110,991,000USD2022-05-1620-F · 0001213900-22-027184
2020-01-012020-12-314,870,000USD2021-05-0320-F · 0001213900-21-024136

Related financial histories

Inspect the source

Entity
SCIENJOY HOLDING CORPORATION / CIK 0001753673
Captured
2026-09-21T17:29:10.668Z
SEC response SHA-256
17a5ea3b2747845b65d19165f4912c402de5b6e94f45f5cda9059b829541b27e

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001753673.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"])))