Johnson & Johnson (JNJ) Operating Expenses (2009 - 2026)
Johnson & Johnson's Operating Expenses was $10.12 billion in Q2 2026, up 6.9% from $9.47 billion a year earlier and up 5.5% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson & Johnson's Operating Expenses was $40.46 billion through Jun 28, 2026, up 0.9% year-over-year; for FY2025, it came in at $38.57 billion, down 4.4% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 2.8% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $40.34 billion in FY2024 (+8.8%), $37.09 billion in FY2023 (+7.0%), $34.66 billion in FY2022 and $34.49 billion in FY2021.
- Quarterly Operating Expenses has moved between $6.99 billion (Q4 2022) and $11.79 billion (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 4.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 48.1%); the worst was Q3 2025 (a decline of 7.8%).
- Per Business Quant data, JNJ's Operating Expenses in the three quarters before Q2 2026 was $9.59 billion (Q1 2026), $11.09 billion (Q4 2025) and $9.66 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | -6.09 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | -9.70 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | 2.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.12 Bn |
| Mar 29, 2026 | 9.59 Bn |
| Dec 28, 2025 | 11.09 Bn |
| Sep 28, 2025 | 9.66 Bn |
| Jun 29, 2025 | 9.47 Bn |
| Mar 30, 2025 | 8.35 Bn |
| Dec 29, 2024 | 11.79 Bn |
| Sep 29, 2024 | 10.47 Bn |
| Jun 30, 2024 | 9.11 Bn |
| Mar 31, 2024 | 8.96 Bn |
| Dec 31, 2023 | 10.35 Bn |
| Oct 1, 2023 | 9.01 Bn |
| Jul 2, 2023 | 9.24 Bn |
| Apr 2, 2023 | 8.49 Bn |
| Jan 1, 2023 | 6.99 Bn |
| Oct 2, 2022 | 8.53 Bn |
| Jul 3, 2022 | 10.01 Bn |
| Apr 3, 2022 | 9.47 Bn |
| Jan 2, 2022 | 6.15 Bn |
| Oct 3, 2021 | 9.48 Bn |
API Access
Johnson & Johnson Operating 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=operating-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();