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Watts Water Technologies Inc: operating cash flow

Watts Water Technologies operating cash flow: $402.0 million for the year ending 2025-12-31, up 11.3% on the year. 11 values since 2015 from SEC filings.

All Watts Water Technologies Inc financial histories

At a glance

Watts Water Technologies reported operating cash flow of $402.0 million for the year ending 2025-12-31, up 11.3% from $361.1 million a year earlier. From 2015 to 2025 it grew at a compound 13.9% a year, from $109.4 million to $402.0 million. Across the last five reported years it ranged from $180.8 million (2021-12-31) to $402.0 million (2025-12-31). That was 16.5% of revenue ($2.44 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2015-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31402,000,000USD2026-02-2310-K · 0001104659-26-018541 SEC
2024-01-012024-12-31361,100,000USD2026-02-2310-K · 0001104659-26-018541 SEC
2023-01-012023-12-31310,800,000USD2026-02-2310-K · 0001104659-26-018541 SEC
2022-01-012022-12-31224,000,000USD2025-02-1810-K · 0001558370-25-001102 SEC
2021-01-012021-12-31180,800,000USD2024-02-2110-K · 0001558370-24-001444 SEC
2020-01-012020-12-31228,800,000USD2023-02-2110-K · 0001558370-23-001614 SEC
2019-01-012019-12-31194,000,000USD2022-02-2210-K · 0001558370-22-001530 SEC
2018-01-012018-12-31169,400,000USD2021-02-1810-K · 0001558370-21-001199 SEC
2017-01-012017-12-31155,900,000USD2020-02-2010-K · 0001558370-20-001062 SEC
2016-01-012016-12-31138,100,000USD2019-02-2210-K · 0001558370-19-000893 SEC
2015-01-012015-12-31109,400,000USD2018-02-2310-K · 0001558370-18-001010 SEC

Related WATTS WATER TECHNOLOGIES INC histories

All 62 Watts Water Technologies histories

Inspect the source

Entity
WATTS WATER TECHNOLOGIES INC / CIK 0000795403
Captured
SEC response SHA-256
b7d20ee037141042aa277daf894c83a209a7372eb4d10629b84b6803a004f8b3

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000795403.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"])))