ELI LILLY AND COMPANY: 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

ELI LILLY AND COMPANY / CIK 0000059478

Captured

2026-09-19T14:48:51.337Z

SEC response SHA-256

3fe29099e6efaef9acac95711c271de1a644602939ea18487e29708310985942

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/0000059478.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"])))