FLOWSERVE CORP: current liabilities

What this measure means

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• FLOWSERVE CORP: total assets
• FLOWSERVE CORP: total liabilities
• FLOWSERVE CORP: stockholders equity
• FLOWSERVE CORP: cash and cash equivalents
• FLOWSERVE CORP: net income or loss
• FLOWSERVE CORP: operating cash flow
• FLOWSERVE CORP: contract revenue excluding tax
• FLOWSERVE CORP: financing cash flow
• FLOWSERVE CORP: investing cash flow
• FLOWSERVE CORP: retained earnings or deficit
• FLOWSERVE CORP: basic weighted-average shares
• FLOWSERVE CORP: diluted weighted-average shares
• FLOWSERVE CORP: basic earnings per share
• FLOWSERVE CORP: diluted earnings per share
• FLOWSERVE CORP: income tax expense or benefit
• FLOWSERVE CORP: net property, plant and equipment
• FLOWSERVE CORP: share-based compensation expense
• FLOWSERVE CORP: operating income or loss
• FLOWSERVE CORP: current assets
• FLOWSERVE CORP: interest expense
• FLOWSERVE CORP: current accounts payable
• FLOWSERVE CORP: goodwill carrying amount
• FLOWSERVE CORP: net current accounts receivable
• FLOWSERVE CORP: common-stock repurchase payments
• FLOWSERVE CORP: net inventory
• FLOWSERVE CORP: gross profit
• FLOWSERVE CORP: selling, general and administrative expense
• FLOWSERVE CORP: research and development expense

Inspect the source

Entity

FLOWSERVE CORP / CIK 0000030625

Captured

2026-09-19T14:46:13.355Z

SEC response SHA-256

f84434cf6b3e61f1ce7199d02e6afccc92527e1628553fd9f596c156ed118646

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000030625.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"])))