Johnson & Johnson (JNJ) Non-Current Assets (2009 - 2026)
Johnson & Johnson (JNJ) recorded Non-Current Assets of $141.07 billion in Q3 2026, up 2.1% from $138.21 billion a year earlier but down 0.2% from the prior quarter.
Johnson & Johnson (JNJ) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Johnson & Johnson reported Non-Current Assets of $143.59 billion, up 15.6% from FY2024.
- Annual Non-Current Assets has a four-year compound annual growth rate of 3.8% (FY2021 to FY2025).
- Across earlier years, Non-Current Assets came in at $124.21 billion in FY2024 (+8.9%), $114.06 billion in FY2023 (-13.6%), $132.08 billion in FY2022 and $123.66 billion in FY2021.
- Quarterly Non-Current Assets has ranged from $112.36 billion in Q3 2023 to $143.59 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for nine consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 16.1% in Q1 2026, against a decline of 13.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $141.29 billion (Q2 2026), $141.72 billion (Q1 2026) and $143.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn | 14.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 141.07 Bn |
| Jun 28, 2026 | 141.29 Bn |
| Mar 29, 2026 | 141.72 Bn |
| Dec 28, 2025 | 143.59 Bn |
| Sep 28, 2025 | 138.21 Bn |
| Jun 29, 2025 | 138.89 Bn |
| Mar 30, 2025 | 122.12 Bn |
| Dec 29, 2024 | 124.21 Bn |
| Sep 29, 2024 | 125.04 Bn |
| Jun 30, 2024 | 123.27 Bn |
| Mar 31, 2024 | 114.96 Bn |
| Dec 31, 2023 | 114.06 Bn |
| Oct 1, 2023 | 112.36 Bn |
| Jul 2, 2023 | 131.12 Bn |
| Apr 2, 2023 | 131.58 Bn |
| Jan 1, 2023 | 132.08 Bn |
| Oct 2, 2022 | 109.89 Bn |
| Jul 3, 2022 | 113.88 Bn |
| Apr 3, 2022 | 117.93 Bn |
| Jan 2, 2022 | 121.04 Bn |
Johnson & Johnson Non-Current Assets 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=non-current-assets&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();