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TEEKAY CORPORATION LTD.: net income or loss

Net income or loss for TEEKAY CORPORATION LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All TEEKAY CORPORATION LTD. 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 2008-01-01 to 2025-12-31. 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
2025-01-012025-12-3198,111,000USD2026-03-1320-F · 0000911971-26-000015
2024-01-012024-12-31133,770,000USD2026-03-1320-F · 0000911971-26-000015
2023-01-012023-12-31150,641,000USD2026-03-1320-F · 0000911971-26-000015
2022-01-012022-12-3178,407,000USD2025-03-1420-F · 0000911971-25-000007
2021-01-012021-12-317,806,000USD2024-03-1520-F · 0001628280-24-011405
2020-01-012020-12-31-82,933,000USD2023-03-3120-F · 0001628280-23-010070
2019-01-012019-12-31-310,577,000USD2022-04-0620-F · 0001628280-22-008587
2018-01-012018-12-31-79,237,000USD2021-04-0120-F · 0001628280-21-006373
2017-01-012017-12-31-163,276,000USD2020-04-0920-F · 0001628280-20-004822
2016-01-012016-12-31-123,182,000USD2019-04-0120-F · 0001628280-19-003715
2015-01-012015-12-3182,151,000USD2018-04-3020-F · 0001628280-18-005389
2014-01-012014-12-31-54,757,000USD2017-11-2820-F/A · 0001628280-17-011842
2013-01-012013-12-31-114,738,000USD2016-04-2620-F · 0001193125-16-556541
2012-01-012012-12-31-160,180,000USD2015-04-2920-F · 0001193125-15-157023
2011-01-012011-12-31-358,616,000USD2014-04-2820-F · 0001193125-14-163511
2010-01-012010-12-31-267,287,000USD2013-04-2920-F · 0001193125-13-181831
2009-01-012009-12-31128,412,000USD2012-04-2520-F · 0001193125-12-182144
2008-01-012008-12-31-469,455,000USD2011-04-1420-F · 0000950123-11-035397

Related financial histories

Inspect the source

Entity
TEEKAY CORPORATION LTD. / CIK 0000911971
Captured
2026-09-20T05:06:22.659Z
SEC response SHA-256
1513df5e712a9666005aee62074147140cc41e3b24441e8066fd088fffcd94a3

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/0000911971.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"])))