Vanda Pharmaceuticals (VNDA) Shares Outstanding (Diluted) (2010 - 2026)
Vanda Pharmaceuticals (VNDA) reported Shares Outstanding (Diluted) of 60.23 million for Q2 2026, up 2.1% from 58.99 million a year earlier and up 1.3% from the prior quarter.
Vanda Pharmaceuticals (VNDA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Vanda Pharmaceuticals posted Shares Outstanding (Diluted) of 58.93 million, up 1.3% from FY2024.
- Shares Outstanding (Diluted) has increased for 14 consecutive years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 58.15 million in FY2024 (+1.0%), 57.56 million in FY2023 (+1.0%), 56.98 million in FY2022 (+0.1%) and 56.92 million in FY2021 (+3.1%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 15 quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 3.3%); the low point was Q1 2022 (a decline of 0.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 59.46 million (Q1 2026), 58.93 million (Q4 2025) and 59.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Vanda Pharmaceuticals | 279.91 Mn | -650.03 Mn | 46.97 Mn | 60.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.23 Mn |
| Mar 31, 2026 | 59.46 Mn |
| Dec 31, 2025 | 58.93 Mn |
| Sep 30, 2025 | 59.09 Mn |
| Jun 30, 2025 | 58.99 Mn |
| Mar 31, 2025 | 58.53 Mn |
| Dec 31, 2024 | 58.15 Mn |
| Sep 30, 2024 | 58.26 Mn |
| Jun 30, 2024 | 58.22 Mn |
| Mar 31, 2024 | 57.76 Mn |
| Dec 31, 2023 | 57.56 Mn |
| Sep 30, 2023 | 57.60 Mn |
| Jun 30, 2023 | 57.54 Mn |
| Mar 31, 2023 | 57.40 Mn |
| Dec 31, 2022 | 56.98 Mn |
| Sep 30, 2022 | 56.97 Mn |
| Jun 30, 2022 | 56.82 Mn |
| Mar 31, 2022 | 56.11 Mn |
| Dec 31, 2021 | 56.92 Mn |
| Sep 30, 2021 | 57.04 Mn |
Vanda Pharmaceuticals 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=VNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VNDA", "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=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();