Johnson & Johnson (JNJ) Total Liabilities (2009 - 2026)
Johnson & Johnson (JNJ) posted Total Liabilities of $116.09 billion for Q2 2026, up 1.0% from $114.92 billion a year earlier but down 3.0% from the prior quarter.
Johnson & Johnson (JNJ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Johnson & Johnson's Total Liabilities came in at $117.67 billion, up 8.3% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of 1.3% (FY2021 to FY2025).
- In prior years, Johnson & Johnson's Total Liabilities was $108.61 billion in FY2024 (+10.0%), $98.78 billion in FY2023 (-10.7%), $110.57 billion in FY2022 and $111.62 billion in FY2021.
- Quarterly Total Liabilities has run from a low of $94.83 billion in Q3 2023 to a high of $125.1 billion in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 14.0%; the weakest was Q1 2024, with a decline of 18.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $119.71 billion (Q1 2026), $117.67 billion (Q4 2025) and $113.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 65.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 116.09 Bn |
| Mar 29, 2026 | 119.71 Bn |
| Dec 28, 2025 | 117.67 Bn |
| Sep 28, 2025 | 113.54 Bn |
| Jun 29, 2025 | 114.92 Bn |
| Mar 30, 2025 | 115.56 Bn |
| Dec 29, 2024 | 108.61 Bn |
| Sep 29, 2024 | 108.13 Bn |
| Jun 30, 2024 | 109.55 Bn |
| Mar 31, 2024 | 101.95 Bn |
| Dec 31, 2023 | 98.78 Bn |
| Oct 1, 2023 | 94.83 Bn |
| Jul 2, 2023 | 115.28 Bn |
| Apr 2, 2023 | 125.10 Bn |
| Jan 1, 2023 | 110.57 Bn |
| Oct 2, 2022 | 100.53 Bn |
| Jul 3, 2022 | 101.37 Bn |
| Apr 3, 2022 | 103.65 Bn |
| Jan 2, 2022 | 108.00 Bn |
| Oct 3, 2021 | 108.96 Bn |
Johnson & Johnson Total 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-liabilities&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();