Johnson & Johnson (JNJ) Long-Term Debt Repayments (2009 - 2026)
Johnson & Johnson's Long-Term Debt Repayments came in at $1 million for Q2 2026, down 66.7% from $3 million a year earlier and down 100.0% from the prior quarter.
Johnson & Johnson (JNJ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Johnson & Johnson reported Long-Term Debt Repayments of $3.01 billion, up 114.1% year-over-year; for FY2025, it was $1.76 billion, up 20.9% from FY2024.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 13.4% (FY2021 to FY2025).
- Going back by year, Long-Term Debt Repayments was $1.45 billion in FY2024 (-6.3%), $1.55 billion in FY2023 (-27.3%), $2.13 billion in FY2022 and $1.06 billion in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is $1 million (Q2 2023) to $2 billion (Q1 2026).
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last six quarters, with an average decline of 22.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 166.6%), and the weakest in Q1 2024 (a decline of 99.8%).
- Business Quant data shows JNJ's Long-Term Debt Repayments at $2 billion (Q1 2026), $2 million (Q4 2025) and $1 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.00 Mn |
| Mar 29, 2026 | 2.00 Bn |
| Dec 28, 2025 | 2.00 Mn |
| Sep 28, 2025 | 1.00 Bn |
| Jun 29, 2025 | 3.00 Mn |
| Mar 30, 2025 | 751.00 Mn |
| Dec 29, 2024 | 649.00 Mn |
| Sep 29, 2024 | 1.00 Mn |
| Jun 30, 2024 | 802.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.05 Bn |
| Oct 1, 2023 | 1.00 Mn |
| Jul 2, 2023 | 1.00 Mn |
| Apr 2, 2023 | 500.00 Mn |
| Jan 1, 2023 | 682.00 Mn |
| Apr 3, 2022 | 2.13 Bn |
| Oct 3, 2021 | 1.00 Mn |
| Jul 4, 2021 | 450.00 Mn |
| Apr 4, 2021 | 1.00 Bn |
| Jan 3, 2021 | 502.00 Mn |
Johnson & Johnson Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();