Johnson & Johnson (JNJ) Treasury Stock (2009 - 2026)
Johnson & Johnson (JNJ) posted Treasury Shares of 712.73 million for Q3 2026, down 0.1% from 713.65 million a year earlier but up 0.2% from the prior quarter.
Johnson & Johnson (JNJ) Treasury Stock (2009 - 2026) Analysis & Trends
At the end of FY2025, Johnson & Johnson's Treasury Shares came in at 711.9 million, down 0.1% from FY2024.
- Annual Treasury Shares shows a four-year compound annual growth rate of 9.9% (FY2021 to FY2025).
- In prior years, Johnson & Johnson's Treasury Shares was 712.92 million in FY2024 (unchanged), 712.77 million in FY2023 (+40.8%), 506.25 million in FY2022 and 487.33 million in FY2021.
- Quarterly Treasury Shares has run from a low of 506.25 million in Q4 2022 to a high of 714.22 million in Q1 2025 over five years.
- On a year-over-year basis, Treasury Shares has declined in each of the last four quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Treasury Shares in the past five years was Q4 2023, with growth of 40.8%; the weakest was Q2 2026, with a decline of 0.2%.
- According to Business Quant data, Treasury Shares for the three prior quarters was 711.62 million (Q2 2026), 713.26 million (Q1 2026) and 711.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 76.18 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 10.62 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 64.59 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | - |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 115.20 Bn |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 76.18 Bn |
| Jun 28, 2026 | 75.86 Bn |
| Mar 29, 2026 | 76.26 Bn |
| Dec 28, 2025 | 75.62 Bn |
| Sep 28, 2025 | 75.89 Bn |
| Jun 29, 2025 | 75.71 Bn |
| Mar 30, 2025 | 75.91 Bn |
| Dec 29, 2024 | 75.68 Bn |
| Sep 29, 2024 | 75.62 Bn |
| Jun 30, 2024 | 75.69 Bn |
| Mar 31, 2024 | 75.71 Bn |
| Dec 31, 2023 | 75.66 Bn |
| Oct 1, 2023 | 75.65 Bn |
| Jul 2, 2023 | 44.22 Bn |
| Apr 2, 2023 | 44.18 Bn |
| Jan 1, 2023 | 41.69 Bn |
| Oct 2, 2022 | 41.15 Bn |
| Jul 3, 2022 | 39.14 Bn |
| Apr 3, 2022 | 39.03 Bn |
| Jan 2, 2022 | 39.10 Bn |
Johnson & Johnson Treasury Stock 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=treasury-shares&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();