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Johnson & Johnson: interest expense

Johnson & Johnson interest expense: $772.0 million for the year ending 2023-12-31, up 179.7% on the year. 17 values since 2007, each linked to its SEC filing.

All Johnson & Johnson financial histories

At a glance

Johnson & Johnson reported interest expense of $772.0 million for the year ending 2023-12-31, up 179.7% from $276.0 million a year earlier. From 2007 to 2023 it grew at a compound 6.2% a year, from $296.0 million to $772.0 million. Across the last five reported years it ranged from $183.0 million (2022-01-02) to $772.0 million (2023-12-31). That was 0.9% of revenue ($85.2 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

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2007-01-01 to 2023-12-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-022023-12-31772,000,000USD2024-02-1610-K · 0000200406-24-000013 SEC
2022-01-032023-01-01276,000,000USD2024-02-1610-K · 0000200406-24-000013 SEC
2021-01-042022-01-02183,000,000USD2024-02-1610-K · 0000200406-24-000013 SEC
2019-12-302021-01-03201,000,000USD2023-02-1610-K · 0000200406-23-000016 SEC
2018-12-312019-12-29318,000,000USD2022-02-1710-K · 0000200406-22-000022 SEC
2018-01-012018-12-301,005,000,000USD2021-02-2210-K · 0000200406-21-000008 SEC
2017-01-022017-12-31934,000,000USD2020-02-1810-K · 0000200406-20-000010 SEC
2016-01-042017-01-01726,000,000USD2019-02-2010-K · 0000200406-19-000009 SEC
2014-12-292016-01-03552,000,000USD2018-02-2110-K · 0000200406-18-000005 SEC
2013-12-302014-12-28533,000,000USD2017-02-2710-K · 0000200406-17-000006 SEC
2012-12-312013-12-29482,000,000USD2016-02-2410-K · 0000200406-16-000071 SEC
2012-01-022012-12-30532,000,000USD2015-02-2410-K · 0000200406-15-000004 SEC
2011-01-032012-01-01571,000,000USD2014-02-2110-K · 0000200406-14-000033 SEC
2010-01-042011-01-02455,000,000USD2013-02-2210-K · 0000200406-13-000038 SEC
2008-12-292010-01-03451,000,000USD2012-02-2310-K · 0001193125-12-075565 SEC
2007-12-312008-12-28435,000,000USD2011-02-2510-K · 0000950123-11-018128 SEC
2007-01-012007-12-30296,000,000USD2010-03-0110-K · 0000950123-10-019392 SEC

Related Johnson & Johnson histories

All 58 Johnson & Johnson histories

Inspect the source

Entity
Johnson & Johnson / CIK 0000200406
Captured
SEC response SHA-256
7141c0c988fa1d30f779687b4c78ab561e19aa5990a58ad86a66467d0a783980

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/0000200406.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"])))