Johnson & Johnson (JNJ) Total Non-Current Liabilities (2009 - 2026)
Johnson & Johnson's Total Non-Current Liabilities was $102.65 billion in Q3 2026, down 0.5% from $103.2 billion a year earlier and down 2.7% from the prior quarter.
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Analysis
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 $107.31 billion, up 18.3% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 3.6% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $90.68 billion in FY2024 (+9.9%), $82.51 billion in FY2023 (-14.2%), $96.12 billion in FY2022 and $93.11 billion in FY2021.
- The Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 9.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2025 (growth of 24.7%); the worst was Q1 2024 (a decline of 21.0%).
- Per Business Quant data, JNJ's Total Non-Current Liabilities in the three quarters before Q3 2026 was $105.5 billion (Q2 2026), $109.01 billion (Q1 2026) and $107.31 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn | 10.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 102.65 Bn |
| Jun 28, 2026 | 105.50 Bn |
| Mar 29, 2026 | 109.01 Bn |
| Dec 28, 2025 | 107.31 Bn |
| Sep 28, 2025 | 103.20 Bn |
| Jun 29, 2025 | 104.24 Bn |
| Mar 30, 2025 | 104.73 Bn |
| Dec 29, 2024 | 90.68 Bn |
| Sep 29, 2024 | 92.85 Bn |
| Jun 30, 2024 | 95.12 Bn |
| Mar 31, 2024 | 84.00 Bn |
| Dec 31, 2023 | 82.51 Bn |
| Oct 1, 2023 | 78.73 Bn |
| Jul 2, 2023 | 98.16 Bn |
| Apr 2, 2023 | 106.38 Bn |
| Dec 31, 2022 | 100.43 Bn |
| Oct 2, 2022 | 86.45 Bn |
| Jul 3, 2022 | 86.68 Bn |
| Apr 3, 2022 | 87.40 Bn |
| Dec 31, 2021 | 171.26 Bn |
API Access
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_KEYimport 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();