Johnson & Johnson (JNJ) Enterprise Value (2009 - 2026)
Johnson & Johnson's Enterprise Value came in at $635.61 billion for Q3 2026, up 53.4% from $414.41 billion a year earlier and up 7.2% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Johnson & Johnson reported Enterprise Value of $572.7 billion, up 72.4% year-over-year; for FY2025, it came in at $480.27 billion, up 47.9% from FY2024.
- Enterprise Value carries a four-year compound annual growth rate of 5.4% (FY2021 to FY2025).
- Going back by year, Enterprise Value was $324.7 billion in FY2024 (-8.4%), $354.62 billion in FY2023 (-19.0%), $437.77 billion in FY2022 and $388.52 billion in FY2021.
- The Q3 2026 figure represents the highest quarterly Enterprise Value in data going back to Q4 2011.
- Year-over-year, Enterprise Value has increased for seven consecutive quarters, with growth averaging 29.9% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2026 (growth of 70.3%), and the weakest in Q2 2024 (a decline of 19.0%).
- Business Quant data shows JNJ's Enterprise Value at $592.95 billion (Q2 2026), $556.76 billion (Q1 2026) and $480.27 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 635.61 Bn |
| Jun 28, 2026 | 592.95 Bn |
| Mar 29, 2026 | 556.76 Bn |
| Dec 28, 2025 | 480.27 Bn |
| Sep 28, 2025 | 414.41 Bn |
| Jun 29, 2025 | 348.17 Bn |
| Mar 30, 2025 | 355.12 Bn |
| Dec 29, 2024 | 324.70 Bn |
| Sep 29, 2024 | 368.29 Bn |
| Jun 30, 2024 | 326.37 Bn |
| Mar 31, 2024 | 354.49 Bn |
| Dec 31, 2023 | 354.62 Bn |
| Oct 1, 2023 | 351.42 Bn |
| Jul 2, 2023 | 402.94 Bn |
| Apr 2, 2023 | 378.19 Bn |
| Jan 1, 2023 | 437.77 Bn |
| Oct 2, 2022 | 393.02 Bn |
| Jul 3, 2022 | 439.42 Bn |
| Apr 3, 2022 | 438.50 Bn |
| Jan 2, 2022 | 418.18 Bn |
API Access
Johnson & Johnson Enterprise Value 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=enterprise-value&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();