Johnson & Johnson (JNJ) Accumulated Expenses (2009 - 2026)
Johnson & Johnson (JNJ) reported Accumulated Expenses of $12.26 billion for Q3 2026, up 61.2% from $7.6 billion a year earlier and up 29.5% from the prior quarter.
Johnson & Johnson (JNJ) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Johnson & Johnson posted Accumulated Expenses of $8.59 billion, up 0.5% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of -11.4% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $8.55 billion in FY2024 (-16.3%), $10.21 billion in FY2023 (-4.7%), $10.72 billion in FY2022 and $13.97 billion in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2026 (growth of 61.2%); the low point was Q3 2025 (a decline of 33.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9.46 billion (Q2 2026), $7.4 billion (Q1 2026) and $8.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 12.26 Bn |
| Jun 28, 2026 | 9.46 Bn |
| Mar 29, 2026 | 7.40 Bn |
| Dec 28, 2025 | 8.59 Bn |
| Sep 28, 2025 | 7.60 Bn |
| Jun 29, 2025 | 7.40 Bn |
| Mar 30, 2025 | 7.91 Bn |
| Dec 29, 2024 | 8.55 Bn |
| Sep 29, 2024 | 11.45 Bn |
| Jun 30, 2024 | 10.54 Bn |
| Mar 31, 2024 | 10.32 Bn |
| Dec 31, 2023 | 10.21 Bn |
| Oct 1, 2023 | 10.10 Bn |
| Jul 2, 2023 | 10.61 Bn |
| Apr 2, 2023 | 11.20 Bn |
| Jan 1, 2023 | 10.72 Bn |
| Oct 2, 2022 | 11.95 Bn |
| Jul 3, 2022 | 12.61 Bn |
| Apr 3, 2022 | 13.01 Bn |
| Jan 2, 2022 | 13.61 Bn |
Johnson & Johnson Accumulated 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=accumulated-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();