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.
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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 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 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();