Innoviva (INVA) Shares Outstanding (Diluted) (2010 - 2026)
Innoviva's Shares Outstanding (Diluted) was 73.42 million in Q2 2026, down 13.1% from 84.45 million a year earlier and down 13.5% from the prior quarter.
Innoviva (INVA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Innoviva came in at 84.76 million, up 14.3% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 74.19 million in FY2024 (-14.6%), 86.88 million in FY2023 (-8.8%), 95.25 million in FY2022 (+1.0%) and 94.31 million in FY2021 (-16.9%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q1 2025.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in four of the last seven quarters, with growth averaging 9.4%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q1 2026 (growth of 35.3%); the worst was Q2 2023 (a decline of 31.5%).
- Per Business Quant data, INVA's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 84.85 million (Q1 2026), 84.76 million (Q4 2025) and 84.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Innoviva | 1.54 Bn | -750.13 Mn | 90.62 Mn | 73.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.42 Mn |
| Mar 31, 2026 | 84.85 Mn |
| Dec 31, 2025 | 84.76 Mn |
| Sep 30, 2025 | 84.96 Mn |
| Jun 30, 2025 | 84.45 Mn |
| Mar 31, 2025 | 62.71 Mn |
| Dec 31, 2024 | 74.19 Mn |
| Sep 30, 2024 | 62.95 Mn |
| Jun 30, 2024 | 62.53 Mn |
| Mar 31, 2024 | 84.53 Mn |
| Dec 31, 2023 | 86.88 Mn |
| Sep 30, 2023 | 86.16 Mn |
| Jun 30, 2023 | 65.49 Mn |
| Mar 31, 2023 | 89.79 Mn |
| Dec 31, 2022 | 95.25 Mn |
| Sep 30, 2022 | 95.83 Mn |
| Jun 30, 2022 | 95.65 Mn |
| Mar 31, 2022 | 93.73 Mn |
| Dec 31, 2021 | 94.31 Mn |
| Sep 30, 2021 | 81.70 Mn |
Innoviva 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=INVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "INVA", "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=INVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();