Johnson & Johnson (JNJ) Operating Expenses (2009 - 2026)
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Analysis
Johnson & Johnson (JNJ) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 2.73 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 11.12 Bn |
| 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 |
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();