Xylem Inc.: basic earnings per share

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Xylem Inc. / CIK 0001524472

Captured

2026-09-20T09:14:56.833Z

SEC response SHA-256

a43b8f8814be1c0925a7c05aafd782947b7432971c89c3f900d08f43e2c0af26

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/0001524472.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"])))