Johnson & Johnson (JNJ) Pension (2010 - 2025)
Johnson & Johnson's Pension was $6.96 billion in Q4 2025, down 4.1% from $7.26 billion a year earlier.
Powered by 
Analysis
Johnson & Johnson (JNJ) Pension (2010 - 2025) Analysis & Trends
From Q4 2011 onward, Johnson & Johnson has reported Pension for 22 quarters.
- Pension shows a four-year compound annual growth rate of -10.4% (FY2021 to FY2025).
- In earlier years, Pension was $7.26 billion in FY2024 (+1.5%), $7.15 billion in FY2023 (+9.3%), $6.54 billion in FY2022 and $10.77 billion in FY2021.
- The Q4 2025 figure marks the lowest quarterly Pension since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 138.78 Bn | 110.77 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | 6.96 Bn |
| Dec 29, 2024 | 7.26 Bn |
| Dec 31, 2023 | 7.15 Bn |
| Jan 1, 2023 | 6.54 Bn |
| Jan 2, 2022 | 8.90 Bn |
| Jan 3, 2021 | 10.77 Bn |
| Dec 29, 2019 | 10.66 Bn |
| Dec 30, 2018 | 9.95 Bn |
| Dec 31, 2017 | 10.07 Bn |
| Apr 2, 2017 | 9.61 Bn |
| Jan 1, 2017 | 9.62 Bn |
| Oct 2, 2016 | 8.22 Bn |
| Jul 3, 2016 | 8.36 Bn |
| Apr 3, 2016 | 8.59 Bn |
| Jan 3, 2016 | 8.85 Bn |
| Sep 27, 2015 | 9.52 Bn |
| Jun 28, 2015 | 9.63 Bn |
| Mar 29, 2015 | 9.75 Bn |
| Dec 28, 2014 | 9.97 Bn |
| Sep 28, 2014 | 7.55 Bn |
API Access
Johnson & Johnson Pension 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=pension&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();