Johnson & Johnson (JNJ) Retained Earnings (2009 - 2026)
Johnson & Johnson's Retained Earnings was $171.67 billion in Q2 2026, up 3.8% from $165.37 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Johnson & Johnson came in at $168.98 billion, up 8.5% from FY2024.
- Retained Earnings has now increased for three consecutive years, with a four-year compound annual growth rate of 10.4% (FY2021 to FY2025).
- In earlier years, Retained Earnings was $155.79 billion in FY2024 (+1.3%), $153.84 billion in FY2023 (+19.9%), $128.35 billion in FY2022 and $113.89 billion in FY2021.
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for 11 straight quarters, with growth averaging 4.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 1.3% in Q4 2024 to 23.1% in Q1 2024.
- Per Business Quant data, JNJ's Retained Earnings in the three quarters before Q2 2026 was $169.16 billion (Q1 2026), $168.98 billion (Q4 2025) and $167.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 171.67 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 40.86 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 112.09 Bn |
| 10 | Vertex Pharmaceuticals | 128.38 Bn | 100.39 Bn | 2.84 Bn | 15.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 3, 2021 | 121.09 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();