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SOLAI Limited: basic earnings per share

Basic earnings per share for SOLAI Limited. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SOLAI Limited financial histories

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2025-12-31. The SEC response was captured on 2026-09-19.

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

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2017-01-012017-12-31-0.78CNY/shares2018-04-2720-F · 0001144204-18-022893
2016-01-012016-12-31-0.49CNY/shares2018-04-2720-F · 0001144204-18-022893
2015-01-012015-12-31-0.84CNY/shares2018-04-2720-F · 0001144204-18-022893
2014-01-012014-12-310.46CNY/shares2017-04-2820-F · 0001144204-17-022867
2013-01-012013-12-310.45CNY/shares2016-04-2820-F · 0001144204-16-097132
2012-01-012012-12-310.02CNY/shares2015-04-2720-F · 0001144204-15-025260
2011-01-012011-12-310.06CNY/shares2014-04-2520-F/A · 0001193125-14-158129
2025-01-012025-12-31-0.02USD/shares2026-04-2020-F · 0001104659-26-045107
2024-01-012024-12-310.01USD/shares2026-04-2020-F · 0001104659-26-045107
2023-01-012023-12-31-0.03USD/shares2026-04-2020-F · 0001104659-26-045107
2022-01-012022-12-31-0.18USD/shares2025-04-2920-F · 0001410578-25-000990
2021-01-012021-12-31-0.1USD/shares2024-05-1520-F · 0001104659-24-061925
2020-01-012020-12-31-0.07USD/shares2023-04-1720-F · 0001410578-23-000687
2017-01-012017-12-31-0.12USD/shares2018-04-2720-F · 0001144204-18-022893
2016-01-012016-12-31-0.07USD/shares2017-04-2820-F · 0001144204-17-022867
2015-01-012015-12-31-0.13USD/shares2016-04-2820-F · 0001144204-16-097132
2014-01-012014-12-310.07USD/shares2015-04-2720-F · 0001144204-15-025260
2013-01-012013-12-310.07USD/shares2014-04-2520-F/A · 0001193125-14-158129

Related financial histories

Inspect the source

Entity
SOLAI Limited / CIK 0001517496
Captured
2026-09-19T11:18:37.383Z
SEC response SHA-256
57c963a55c19d607213a0beb877ee9e9034243699afb6405853fba658b4297c6

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/0001517496.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"])))