Johnson & Johnson (JNJ) Short-Term Debt repayments (2009 - 2026)
Johnson & Johnson (JNJ) recorded Short-Term Debt repayments of $6.45 billion in Q2 2026, up 119.7% from $2.94 billion a year earlier and up 100.2% from the prior quarter.
Johnson & Johnson (JNJ) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Johnson & Johnson's Short-Term Debt repayments came in at $16.95 billion as of Jun 28, 2026, up 59.8% year-over-year; for FY2025, it was $12.33 billion, up 30.3% from FY2024.
- Annual Short-Term Debt repayments has a four-year compound annual growth rate of 46.7% (FY2021 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $9.46 billion in FY2024 (-58.8%), $22.97 billion in FY2023 (+250.7%), $6.55 billion in FY2022 and $2.66 billion in FY2021.
- The Q2 2026 figure is the highest quarterly Short-Term Debt repayments since Q3 2023.
- On a year-over-year basis, Short-Term Debt repayments has increased for four consecutive quarters, with growth averaging 41.5% over the last eight quarters.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 138.2% in Q1 2025, against a decline of 83.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.22 billion (Q1 2026), $1.81 billion (Q4 2025) and $5.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.78 Bn | 1,135.37 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 635.34 Bn | 553.86 Bn | 17.26 Bn | 6.45 Bn |
| 3 | AbbVie | 503.48 Bn | 476.60 Bn | 12.70 Bn | - |
| 4 | Merck | 377.08 Bn | 331.46 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 304.13 Bn | 268.12 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.48 Bn | 241.16 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.75 Bn | 197.15 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.09 Bn | 168.29 Bn | 6.22 Bn | - |
| 9 | Pfizer | 172.59 Bn | 119.24 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 135.52 Bn | 107.52 Bn | 2.84 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.45 Bn |
| Mar 29, 2026 | 3.22 Bn |
| Dec 28, 2025 | 1.81 Bn |
| Sep 28, 2025 | 5.47 Bn |
| Jun 29, 2025 | 2.94 Bn |
| Mar 30, 2025 | 2.12 Bn |
| Dec 29, 2024 | 1.11 Bn |
| Sep 29, 2024 | 4.44 Bn |
| Jun 30, 2024 | 3.03 Bn |
| Mar 31, 2024 | 890.00 Mn |
| Dec 31, 2023 | 1.33 Bn |
| Oct 1, 2023 | 8.03 Bn |
| Jul 2, 2023 | 8.22 Bn |
| Apr 2, 2023 | 5.39 Bn |
| Jan 1, 2023 | 5.73 Bn |
| Apr 3, 2022 | 856.00 Mn |
| Oct 3, 2021 | 132.00 Mn |
| Jul 4, 2021 | 214.00 Mn |
| Apr 4, 2021 | 475.00 Mn |
| Jan 3, 2021 | 2.35 Bn |
Johnson & Johnson Short-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=short-term-debt-repayments&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();