Johnson & Johnson (JNJ) Shares Repurchased (2009 - 2026)
Johnson & Johnson (JNJ) posted Shares Repurchased of $1.71 billion for Q3 2026, down 10.1% from $1.9 billion a year earlier but up 673.3% from the prior quarter.
Johnson & Johnson (JNJ) Shares Repurchased (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 27, 2026, Shares Repurchased at Johnson & Johnson was $7.88 billion, up 82.8% year-over-year; for FY2025, it was $5.95 billion, up 144.8% from FY2024.
- Annual Shares Repurchased shows a four-year compound annual growth rate of 16.6% (FY2021 to FY2025).
- In prior years, Johnson & Johnson's Shares Repurchased was $2.43 billion in FY2024 (-51.9%), $5.05 billion in FY2023 (-16.3%), $6.04 billion in FY2022 and $3.22 billion in FY2021.
- Quarterly Shares Repurchased has run from a low of $136 million in Q2 2024 to a high of $4.03 billion in Q1 2026 over five years.
- On a year-over-year basis, Shares Repurchased increased in five of the last six quarters, with growth averaging 164.9%.
- The strongest year-over-year quarter for Shares Repurchased in the past five years was Q4 2025, with growth of 582.3%; the weakest was Q4 2023, with a decline of 94.0%.
- According to Business Quant data, Shares Repurchased for the three prior quarters was $221 million (Q2 2026), $4.03 billion (Q1 2026) and $1.92 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.17 Bn | 1,237.79 Bn | 20.46 Bn | 377.00 Mn |
| 2 | Johnson & Johnson | 660.04 Bn | 579.90 Bn | 17.30 Bn | 1.71 Bn |
| 3 | AbbVie | 521.06 Bn | 494.17 Bn | 12.70 Bn | 9.00 Mn |
| 4 | Merck | 370.60 Bn | 370.60 Bn | - | - |
| 5 | Novartis Ag | 311.97 Bn | 285.20 Bn | - | - |
| 6 | Astrazeneca | 288.69 Bn | 262.37 Bn | 12.86 Bn | - |
| 7 | Amgen | 252.29 Bn | 207.69 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 213.47 Bn | 213.47 Bn | - | - |
| 9 | Pfizer | 173.68 Bn | 120.32 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 141.76 Bn | 113.76 Bn | 2.84 Bn | 469.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.71 Bn |
| Jun 28, 2026 | 221.00 Mn |
| Mar 29, 2026 | 4.03 Bn |
| Dec 28, 2025 | 1.92 Bn |
| Sep 28, 2025 | 1.90 Bn |
| Mar 30, 2025 | 2.13 Bn |
| Dec 29, 2024 | 282.00 Mn |
| Sep 29, 2024 | 539.00 Mn |
| Jun 30, 2024 | 136.00 Mn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 216.00 Mn |
| Oct 1, 2023 | 920.00 Mn |
| Jul 2, 2023 | 381.00 Mn |
| Apr 2, 2023 | 3.54 Bn |
| Jan 1, 2023 | 3.58 Bn |
| Apr 3, 2022 | 1.58 Bn |
| Oct 3, 2021 | 391.00 Mn |
| Jul 4, 2021 | 631.00 Mn |
| Apr 4, 2021 | 1.44 Bn |
| Jan 3, 2021 | 321.00 Mn |
Johnson & Johnson Shares Repurchased 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=shares-repurchased&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "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=shares-repurchased&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();