Johnson & Johnson (JNJ) Non Operating Interest Expenses (2009 - 2026)
Johnson & Johnson's Non Operating Interest Expenses was $217 million in Q3 2026, down 11.4% from $245 million a year earlier and down 22.8% from the prior quarter.
Johnson & Johnson (JNJ) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson & Johnson's Non Operating Interest Expenses was $984 million through Sep 27, 2026, up 10.1% year-over-year; for FY2025, it came in at $971 million, up 28.6% from FY2024.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 48.3% (FY2021 to FY2025).
- In earlier years, Non Operating Interest Expenses was $755 million in FY2024 (-2.2%), $772 million in FY2023 (+179.7%), $276 million in FY2022 and $201 million in FY2021.
- Quarterly Non Operating Interest Expenses has moved between $137 million (Q4 2024) and $308 million (Q2 2025) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 16.6%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2025 (growth of 56.2%); the worst was Q1 2024 (a decline of 26.9%).
- Per Business Quant data, JNJ's Non Operating Interest Expenses in the three quarters before Q3 2026 was $281 million (Q2 2026), $272 million (Q1 2026) and $214 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,214.11 Bn | 1,187.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 663.75 Bn | 583.61 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 513.52 Bn | 481.53 Bn | 13.12 Bn | - |
| 4 | Merck | 362.02 Bn | 324.96 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 314.18 Bn | 287.41 Bn | - | - |
| 6 | Astrazeneca | 288.03 Bn | 261.92 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 249.76 Bn | 201.41 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 208.51 Bn | 183.62 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.24 Bn | 114.60 Bn | 12.56 Bn | - |
| 10 | Vertex Pharmaceuticals | 138.71 Bn | 110.70 Bn | 2.91 Bn | 36.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 217.00 Mn |
| Jun 28, 2026 | 281.00 Mn |
| Mar 29, 2026 | 272.00 Mn |
| Dec 28, 2025 | 214.00 Mn |
| Sep 28, 2025 | 245.00 Mn |
| Jun 29, 2025 | 308.00 Mn |
| Mar 30, 2025 | 204.00 Mn |
| Dec 29, 2024 | 137.00 Mn |
| Sep 29, 2024 | 193.00 Mn |
| Jun 30, 2024 | 270.00 Mn |
| Mar 31, 2024 | 155.00 Mn |
| Dec 31, 2023 | 151.00 Mn |
| Oct 1, 2023 | 192.00 Mn |
| Jul 2, 2023 | 217.00 Mn |
| Apr 2, 2023 | 212.00 Mn |
| Jan 1, 2023 | 153.00 Mn |
| Oct 2, 2022 | 51.00 Mn |
| Jul 3, 2022 | 38.00 Mn |
| Apr 3, 2022 | 10.00 Mn |
| Oct 3, 2021 | 20.00 Mn |
Johnson & Johnson Non Operating Interest 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=non-operating-interest-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();