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51Talk Online Education Group: operating income or loss

Operating income or loss for 51Talk Online Education Group. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All 51Talk Online Education Group financial histories

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2014-01-01 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

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2021-01-012021-12-3149,301,000CNY2022-05-0220-F · 0001104659-22-054645
2020-01-012020-12-31104,419,000CNY2022-05-0220-F · 0001104659-22-054645
2019-01-012019-12-31-107,555,000CNY2022-05-0220-F · 0001104659-22-054645
2018-01-012018-12-31-404,681,000CNY2021-04-0720-F · 0001104659-21-047321
2017-01-012017-12-31-570,790,000CNY2020-04-0620-F · 0001104659-20-043349
2016-01-012016-12-31-512,132,000CNY2019-04-2320-F · 0001104659-19-023096
2015-01-012015-12-31-321,830,000CNY2018-04-2420-F · 0001104659-18-025955
2014-01-012014-12-31-93,607,000CNY2017-04-2520-F · 0001104659-17-025888
2025-01-012025-12-31-14,429,000USD2026-04-2320-F · 0001104659-26-047273
2024-01-012024-12-31-8,046,000USD2026-04-2320-F · 0001104659-26-047273
2023-01-012023-12-31-13,663,000USD2026-04-2320-F · 0001104659-26-047273
2022-01-012022-12-31-12,358,000USD2025-04-2520-F · 0001410578-25-000918
2021-01-012021-12-31-4,592,000USD2024-04-2920-F · 0001104659-24-054013
2020-01-012020-12-3116,002,000USD2021-04-0720-F · 0001104659-21-047321
2019-01-012019-12-31-15,450,000USD2020-04-0620-F · 0001104659-20-043349
2018-01-012018-12-31-58,858,000USD2019-04-2320-F · 0001104659-19-023096
2017-01-012017-12-31-87,730,000USD2018-04-2420-F · 0001104659-18-025955
2016-01-012016-12-31-73,763,000USD2017-04-2520-F · 0001104659-17-025888

Related financial histories

Inspect the source

Entity
51Talk Online Education Group / CIK 0001659494
Captured
2026-09-19T11:20:04.794Z
SEC response SHA-256
300e06a2494a7386b302429ecbcaee1af90c378c99fdaaef846b0fecb90003e3

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/0001659494.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"])))