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Jianpu Technology Inc.: diluted earnings per share

Diluted earnings per share for Jianpu Technology Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Jianpu Technology Inc. financial histories

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2019-01-01 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

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-310.08CNY/shares2026-04-2420-F · 0001104659-26-048221
2024-01-012024-12-310.26CNY/shares2026-04-2420-F · 0001104659-26-048221
2023-01-012023-12-31-0.06CNY/shares2026-04-2420-F · 0001104659-26-048221
2022-01-012022-12-31-0.31CNY/shares2025-04-2820-F · 0001410578-25-000926
2021-01-012021-12-31-0.47CNY/shares2024-04-1920-F · 0001104659-24-049088
2020-01-012020-12-31-0.72CNY/shares2023-04-2620-F · 0001104659-23-049835
2019-01-012019-12-31-1.07CNY/shares2022-04-2920-F · 0001104659-22-052752
2025-01-012025-12-310.01USD/shares2026-04-2420-F · 0001104659-26-048221
2024-01-012024-12-310.04USD/shares2025-04-2820-F · 0001410578-25-000926
2023-01-012023-12-31-0.01USD/shares2024-04-1920-F · 0001104659-24-049088
2022-01-012022-12-31-0.05USD/shares2023-04-2620-F · 0001104659-23-049835
2021-01-012021-12-31-0.07USD/shares2022-04-2920-F · 0001104659-22-052752

Related financial histories

Inspect the source

Entity
Jianpu Technology Inc. / CIK 0001713923
Captured
2026-09-21T17:24:33.355Z
SEC response SHA-256
a38c19b6bab2ea259c6adb73531e01daf5d1c9c3d2379de6e7f9a97c54a1dca4

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/0001713923.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"])))