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ASML HOLDING NV: comprehensive income or loss

Comprehensive income or loss for ASML HOLDING NV. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ASML HOLDING NV financial histories

What this measure means

Net income plus other comprehensive income after tax. It includes unrealized items that net income excludes and is not a cash measure.

Exact concept: us-gaap:ComprehensiveIncomeNetOfTax. 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Comprehensive income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-319,291,100,000EUR2026-02-2520-F · 0001628280-26-011378
2024-01-012024-12-317,680,700,000EUR2026-02-2520-F · 0001628280-26-011378
2023-01-012023-12-317,755,700,000EUR2026-02-2520-F · 0001628280-26-011378
2022-01-012022-12-315,719,000,000EUR2025-03-0520-F · 0000937966-25-000009
2021-01-012021-12-316,037,300,000EUR2024-02-1420-F · 0000937966-24-000008
2020-01-012020-12-313,455,300,000EUR2023-02-1520-F · 0000937966-23-000014
2019-01-012019-12-312,585,100,000EUR2022-02-0920-F · 0000937966-22-000013
2018-01-012018-12-312,625,100,000EUR2021-02-1020-F · 0000937966-21-000007
2017-01-012017-12-311,717,000,000EUR2020-02-1220-F · 0000937966-20-000011
2016-01-012016-12-311,686,600,000EUR2019-02-0620-F · 0000937966-19-000007
2015-01-012015-12-311,647,600,000EUR2018-02-0720-F · 0000937966-18-000007
2014-01-012014-12-311,451,094,000EUR2017-02-0820-F · 0000937966-17-000007
2013-01-012013-12-31894,065,000EUR2016-02-0520-F · 0000937966-16-000017
2012-01-012012-12-311,146,832,000EUR2015-02-1120-F · 0001193125-15-042676
2011-01-012011-12-311,496,840,000EUR2014-02-1220-F · 0001193125-14-046822
2010-01-012010-12-311,042,885,000EUR2013-02-1320-F · 0001193125-13-053249
2009-01-012009-12-31-153,023,000EUR2012-02-1420-F · 0001193125-12-058548
2008-01-012008-12-31266,057,000EUR2011-03-0920-F/A · 0000950123-11-023405
2007-01-012007-12-31644,257,000EUR2010-02-2620-F/A · 0000950123-10-018242

Related financial histories

Inspect the source

Entity
ASML HOLDING NV / CIK 0000937966
Captured
2026-09-19T11:15:31.603Z
SEC response SHA-256
28be6fd0f5608350ec396ae5d5097e45da95f4f29ad3fbd19aac328a15cce3d4

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/0000937966.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"])))