Skip to content

NEW ORIENTAL EDUCATION & TECHNOLOGY GROUP INC.: net income or loss

Net income or loss for NEW ORIENTAL EDUCATION & TECHNOLOGY GROUP INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NEW ORIENTAL EDUCATION & TECHNOLOGY GROUP INC. financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2008-06-01 to 2025-05-31. The SEC response was captured on 2026-09-20.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-06-012025-05-31371,716,000USD2025-09-2520-F · 0001193125-25-216394
2023-06-012024-05-31309,591,000USD2025-09-2520-F · 0001193125-25-216394
2022-06-012023-05-31177,341,000USD2025-09-2520-F · 0001193125-25-216394
2021-06-012022-05-31-1,187,721,000USD2024-09-2520-F · 0001193125-24-225183
2020-06-012021-05-31334,414,000USD2023-09-2520-F · 0001193125-23-240864
2019-06-012020-05-31413,333,000USD2022-09-2920-F · 0001193125-22-253809
2018-06-012019-05-31238,065,000USD2021-09-2420-F · 0001193125-21-282201
2017-06-012018-05-31296,130,000USD2020-09-1620-F · 0001193125-20-247160
2016-06-012017-05-31274,457,000USD2019-09-2620-F · 0001193125-19-256047
2015-06-012016-05-31224,884,000USD2018-09-2720-F · 0001193125-18-285651
2014-06-012015-05-31193,013,000USD2017-09-2720-F · 0001193125-17-295945
2013-06-012014-05-31215,704,000USD2016-09-2720-F · 0001193125-16-721548
2012-06-012013-05-31136,269,000USD2015-09-2520-F · 0001193125-15-329099
2011-06-012012-05-31132,688,000USD2014-09-2620-F · 0001193125-14-353973
2010-06-012011-05-31101,774,000USD2013-09-2720-F · 0001193125-13-382302
2009-06-012010-05-3177,789,000USD2013-02-2220-F/A · 0001193125-13-070533
2008-06-012009-05-3161,016,000USD2011-10-1420-F · 0001193125-11-271810

Related financial histories

Inspect the source

Entity
NEW ORIENTAL EDUCATION & TECHNOLOGY GROUP INC. / CIK 0001372920
Captured
2026-09-20T07:57:13.961Z
SEC response SHA-256
4f3f7509907db8fbb78fe941524ad592cb00eb27745a77f01f751e4ed6f53457

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/0001372920.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"])))