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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Vertex Pharmaceuticals | 135.25 Bn | 107.26 Bn | 2.84 Bn | 7.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 115.90 Bn |
| 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 |
API Access
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_KEYimport 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();