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The Procter & Gamble Company: operating income or loss

The Procter & Gamble Company operating income or loss: $19.7 billion for the year ending 2026-06-30, down 3.4% on the year. 19 values since 2008.

All The Procter & Gamble Company financial histories

At a glance

The Procter & Gamble Company reported operating income or loss of $19.7 billion for the year ending 2026-06-30, down 3.4% from $20.5 billion a year earlier. From 2008 to 2026 it grew at a compound 1.2% a year, from $16.0 billion to $19.7 billion. Across the last five reported years it ranged from $17.8 billion (2022-06-30) to $20.5 billion (2025-06-30). That was 22.7% of revenue ($87.0 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

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 2007-07-01 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-07-012026-06-3019,748,000,000USD2026-08-0410-K · 0000080424-26-000103 SEC
2024-07-012025-06-3020,451,000,000USD2026-08-0410-K · 0000080424-26-000103 SEC
2023-07-012024-06-3018,545,000,000USD2026-08-0410-K · 0000080424-26-000103 SEC
2022-07-012023-06-3018,134,000,000USD2025-08-0410-K · 0000080424-25-000076 SEC
2021-07-012022-06-3017,813,000,000USD2024-08-0510-K · 0000080424-24-000083 SEC
2020-07-012021-06-3017,986,000,000USD2023-08-0410-K · 0000080424-23-000073 SEC
2019-07-012020-06-3015,706,000,000USD2022-08-0510-K · 0000080424-22-000064 SEC
2018-07-012019-06-305,487,000,000USD2021-08-0610-K · 0000080424-21-000100 SEC
2017-07-012018-06-3013,363,000,000USD2020-08-0710-K/A · 0000080424-20-000059 SEC
2016-07-012017-06-3013,766,000,000USD2019-08-0610-K · 0000080424-19-000050 SEC
2015-07-012016-06-3013,441,000,000USD2018-08-0710-K · 0000080424-18-000055 SEC
2014-07-012015-06-3011,049,000,000USD2017-08-0710-K · 0000080424-17-000047 SEC
2013-07-012014-06-3013,910,000,000USD2016-08-0910-K · 0000080424-16-000212 SEC
2012-07-012013-06-3013,817,000,000USD2015-08-0710-K · 0000080424-15-000070 SEC
2011-07-012012-06-3013,035,000,000USD2014-08-0810-K · 0000080424-14-000057 SEC
2010-07-012011-06-3015,495,000,000USD2013-08-0810-K · 0000080424-13-000063 SEC
2009-07-012010-06-3015,732,000,000USD2012-08-0810-K · 0000080424-12-000063 SEC
2008-07-012009-06-3015,374,000,000USD2011-08-1010-K · 0000080424-11-000014 SEC
2007-07-012008-06-3015,979,000,000USD2010-08-1310-K · 0001193125-10-188769 SEC

Related The Procter & Gamble Company histories

All 60 The Procter & Gamble Company histories

Inspect the source

Entity
The Procter & Gamble Company / CIK 0000080424
Captured
SEC response SHA-256
606ad7056b611e91cfab9f7568b747404405772add188600efa5ccda5824f3d8

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/0000080424.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"])))