Johnson & Johnson (JNJ) Total Non-Current Liabilities (2009 - 2026)
Johnson & Johnson's Total Non-Current Liabilities was $105.99 billion in Q2 2026, up 1.3% from $104.65 billion a year earlier but down 3.2% from the prior quarter.
Johnson & Johnson (JNJ) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Johnson & Johnson came in at $107.8 billion, up 18.4% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 2.0% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $91.07 billion in FY2024 (+6.7%), $85.39 billion in FY2023 (-15.0%), $100.43 billion in FY2022 and $99.67 billion in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $81.27 billion (Q3 2023) and $110.68 billion (Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for eight straight quarters, with growth averaging 10.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2025 (growth of 21.0%); the worst was Q1 2024 (a decline of 21.5%).
- Per Business Quant data, JNJ's Total Non-Current Liabilities in the three quarters before Q2 2026 was $109.5 billion (Q1 2026), $107.8 billion (Q4 2025) and $103.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 105.99 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -967.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 81.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 36.04 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 100.86 Bn |
| 10 | Vertex Pharmaceuticals | 128.38 Bn | 100.39 Bn | 2.84 Bn | 5.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 105.99 Bn |
| Mar 29, 2026 | 109.50 Bn |
| Dec 28, 2025 | 107.80 Bn |
| Sep 28, 2025 | 103.61 Bn |
| Jun 29, 2025 | 104.65 Bn |
| Mar 30, 2025 | 105.13 Bn |
| Dec 29, 2024 | 91.07 Bn |
| Sep 29, 2024 | 93.21 Bn |
| Jun 30, 2024 | 95.46 Bn |
| Mar 31, 2024 | 86.88 Bn |
| Dec 31, 2023 | 85.39 Bn |
| Oct 1, 2023 | 81.27 Bn |
| Jul 2, 2023 | 100.70 Bn |
| Apr 2, 2023 | 110.68 Bn |
| Jan 1, 2023 | 100.43 Bn |
| Oct 2, 2022 | 90.61 Bn |
| Jul 3, 2022 | 90.84 Bn |
| Apr 3, 2022 | 93.15 Bn |
| Jan 2, 2022 | 97.31 Bn |
| Oct 3, 2021 | 97.78 Bn |
Johnson & Johnson Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();