Johnson & Johnson (JNJ) Retained Earnings (2009 - 2026)
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Analysis
Johnson & Johnson (JNJ) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 168.36 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 112.09 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn | 15.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 168.36 Bn |
| Jun 28, 2026 | 171.67 Bn |
| Mar 29, 2026 | 169.16 Bn |
| Dec 28, 2025 | 168.98 Bn |
| Sep 28, 2025 | 167.28 Bn |
| Jun 29, 2025 | 165.37 Bn |
| Mar 30, 2025 | 162.64 Bn |
| Dec 29, 2024 | 155.79 Bn |
| Sep 29, 2024 | 155.18 Bn |
| Jun 30, 2024 | 155.36 Bn |
| Mar 31, 2024 | 153.38 Bn |
| Dec 31, 2023 | 153.84 Bn |
| Oct 1, 2023 | 152.54 Bn |
| Jul 2, 2023 | 129.38 Bn |
| Apr 2, 2023 | 124.56 Bn |
| Jan 1, 2023 | 128.35 Bn |
| Oct 2, 2022 | 127.92 Bn |
| Jul 3, 2022 | 126.22 Bn |
| Apr 3, 2022 | 124.38 Bn |
| Jan 2, 2022 | 123.06 Bn |
API Access
Johnson & Johnson Retained Earnings 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=retained-earnings&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();