Johnson & Johnson (JNJ) Change in Accured Expenses (2009 - 2026)
Johnson & Johnson (JNJ) posted Change in Accured Expenses of $2.96 billion for Q2 2026, up 139.0% from $1.24 billion a year earlier.
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Analysis
Johnson & Johnson (JNJ) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Change in Accured Expenses at Johnson & Johnson was $2.31 billion, up 706.6% year-over-year; for FY2025, it came in at $2.38 billion, up 46.6% from FY2024.
- Annual Change in Accured Expenses shows a four-year compound annual growth rate of -17.5% (FY2021 to FY2025).
- In prior years, Johnson & Johnson's Change in Accured Expenses was $1.62 billion in FY2024 (-30.9%), $2.35 billion in FY2023 (+113.7%), $1.1 billion in FY2022 and $5.14 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q4 2018.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 25.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$3.92 billion (Q1 2026), $1.27 billion (Q4 2025) and $2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | - |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 222.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.96 Bn |
| Mar 29, 2026 | -3.92 Bn |
| Dec 28, 2025 | 1.27 Bn |
| Sep 28, 2025 | 2.00 Bn |
| Jun 29, 2025 | 1.24 Bn |
| Mar 30, 2025 | -2.13 Bn |
| Dec 29, 2024 | -1.09 Bn |
| Sep 29, 2024 | 2.26 Bn |
| Jun 30, 2024 | 2.93 Bn |
| Mar 31, 2024 | -2.48 Bn |
| Dec 31, 2023 | 1.68 Bn |
| Oct 1, 2023 | 1.73 Bn |
| Jul 2, 2023 | 1.51 Bn |
| Apr 2, 2023 | -2.57 Bn |
| Jan 1, 2023 | 916.00 Mn |
| Apr 3, 2022 | -2.82 Bn |
| Oct 3, 2021 | 4.23 Bn |
| Jul 4, 2021 | -1.71 Bn |
| Apr 4, 2021 | -2.34 Bn |
| Jan 3, 2021 | 5.26 Bn |
API Access
Johnson & Johnson Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JNJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();