Vanda Pharmaceuticals (VNDA) Shares Outstanding (Diluted) (2009 - 2026)
Vanda Pharmaceuticals (VNDA) reported Weighted Average Shares Outstanding (Diluted) of 60.23 million for Q3 2026, up 1.9% from 59.09 million a year earlier and unchanged from the prior quarter.
Vanda Pharmaceuticals (VNDA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Vanda Pharmaceuticals posted Weighted Average Shares Outstanding (Diluted) of 58.93 million, up 1.3% from FY2024.
- Weighted Average 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, Weighted Average 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%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 16 quarters, with growth averaging 1.5% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 3.1%); the low point was Q1 2022 (a decline of 0.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 60.23 million (Q2 2026), 59.46 million (Q1 2026) and 58.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Vanda Pharmaceuticals | 246.71 Mn | -529.97 Mn | 65.66 Mn | 60.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.47 Mn |
| 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 |
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();