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Waters Corporation: operating income or loss

Operating income or loss for Waters Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Waters Corporation 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31802,588,000USD2026-02-2310-K · 0001193125-26-062604
2024-01-012024-12-31826,353,000USD2026-02-2310-K · 0001193125-26-062604
2023-01-012023-12-31817,676,000USD2026-02-2310-K · 0001193125-26-062604
2022-01-012022-12-31873,395,000USD2025-02-2510-K · 0001193125-25-034579
2021-01-012021-12-31821,707,000USD2024-02-2710-K · 0001193125-24-047491
2020-01-012020-12-31645,489,000USD2023-02-2710-K · 0001193125-23-050827
2019-01-012019-12-31708,457,000USD2022-02-2410-K · 0001193125-22-051509
2018-01-012018-12-31739,774,000USD2021-02-2410-K · 0001193125-21-054385
2017-01-012017-12-31662,198,000USD2020-02-2510-K · 0001193125-20-048303
2016-01-012016-12-31625,039,000USD2019-03-0110-K/A · 0001193125-19-060858
2015-01-012015-12-31567,451,000USD2018-02-2710-K · 0001193125-18-060830
2014-01-012014-12-31517,908,000USD2017-02-2410-K · 0001193125-17-056239
2013-01-012013-12-31517,343,000USD2016-02-2610-K · 0001193125-16-480594
2012-01-012012-12-31511,490,000USD2015-02-2710-K · 0001193125-15-067900
2011-01-012011-12-31528,600,000USD2014-02-2710-K · 0001193125-14-072515
2010-01-012010-12-31449,932,000USD2013-02-2610-K · 0001193125-13-076804
2009-01-012009-12-31394,602,000USD2012-02-2410-K · 0001193125-12-077126
2008-01-012008-12-31389,754,000USD2011-02-2510-K · 0000950123-11-018381
2007-01-012007-12-31348,879,000USD2010-02-2610-K · 0000950123-10-017583

Related financial histories

Inspect the source

Entity
Waters Corporation / CIK 0001000697
Captured
2026-09-20T05:11:03.974Z
SEC response SHA-256
f36772e3c932728e55fc7b158a25d0ab2189ad8ffc3a3e02408c7bfd3ae0b8ed

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/0001000697.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"])))