Novartis Ag (NVS) Shares Outstanding (Diluted) (2009 - 2026)
Novartis Ag's Weighted Average Shares Outstanding (Diluted) was 1.96 billion in Q3 2026, down 3.9% from 2.04 billion a year earlier and unchanged from the prior quarter.
Novartis Ag (NVS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
From Q1 2009 onward, Novartis Ag has reported Weighted Average Shares Outstanding (Diluted) for 71 quarters.
- Weighted Average Shares Outstanding (Diluted) has now declined for 12 consecutive years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 2.04 billion in FY2024 (-2.7%), 2.09 billion in FY2023 (-4.8%), 2.2 billion in FY2022 (-2.8%) and 2.26 billion in FY2021 (-1.6%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 1.96 billion (Q4 2025) and 2.26 billion (Q3 2022) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 48 straight quarters, with an average decline of 3.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 1.6% (Q3 2022) to 4.8% (Q4 2023).
- Per Business Quant data, NVS's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 1.96 billion (Q2 2026), 1.96 billion (Q1 2026) and 1.96 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,263.50 Bn | 1,237.12 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 655.05 Bn | 574.91 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 512.00 Bn | 485.11 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 368.57 Bn | 368.57 Bn | - | 2.47 Bn |
| 5 | Novartis Ag | 313.61 Bn | 286.85 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 290.22 Bn | 263.91 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 252.64 Bn | 208.04 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 212.62 Bn | 212.62 Bn | - | 1.24 Bn |
| 9 | Pfizer | 175.96 Bn | 122.60 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Vertex Pharmaceuticals | 140.19 Bn | 112.20 Bn | 2.84 Bn | 255.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.96 Bn |
| Jun 30, 2026 | 1.96 Bn |
| Mar 31, 2026 | 1.96 Bn |
| Dec 31, 2025 | 1.96 Bn |
| Sep 30, 2025 | 2.04 Bn |
| Jun 30, 2025 | 2.04 Bn |
| Mar 31, 2025 | 2.04 Bn |
| Dec 31, 2024 | 2.04 Bn |
| Sep 30, 2024 | 2.09 Bn |
| Jun 30, 2024 | 2.09 Bn |
| Mar 31, 2024 | 2.09 Bn |
| Dec 31, 2023 | 2.09 Bn |
| Sep 30, 2023 | 2.20 Bn |
| Jun 30, 2023 | 2.20 Bn |
| Mar 31, 2023 | 2.20 Bn |
| Dec 31, 2022 | 2.20 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.26 Bn |
| Mar 31, 2022 | 2.26 Bn |
| Dec 31, 2021 | 2.26 Bn |
Novartis Ag Shares Outstanding (Diluted) 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-outstanding-diluted&ticker=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NVS", "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-outstanding-diluted&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();