Vera Therapeutics (VERA) Shares Outstanding (Diluted) (2021 - 2026)
Vera Therapeutics' Shares Outstanding (Diluted) came in at 71.84 million for Q2 2026, up 12.6% from 63.79 million a year earlier and up 0.5% from the prior quarter.
Vera Therapeutics (VERA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Vera Therapeutics' Shares Outstanding (Diluted) was 64.23 million, up 16.1% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last four years, with a four-year compound annual growth rate of 47.9% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 55.33 million in FY2024 (+29.5%), 42.71 million in FY2023 (+60.7%), 26.57 million in FY2022 (+97.8%) and 13.44 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- Year-over-year, Shares Outstanding (Diluted) has increased for 17 consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 12.3% in Q1 2026 to 157.9% in Q2 2022.
- Business Quant data shows VERA's Shares Outstanding (Diluted) at 71.48 million (Q1 2026), 64.23 million (Q4 2025) and 63.85 million (Q3 2025) in the three quarters before Q2 2026.
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 | Vera Therapeutics | 2.33 Bn | 2.33 Bn | - | 71.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.84 Mn |
| Mar 31, 2026 | 71.48 Mn |
| Dec 31, 2025 | 64.23 Mn |
| Sep 30, 2025 | 63.85 Mn |
| Jun 30, 2025 | 63.79 Mn |
| Mar 31, 2025 | 63.67 Mn |
| Dec 31, 2024 | 55.33 Mn |
| Sep 30, 2024 | 54.90 Mn |
| Jun 30, 2024 | 54.73 Mn |
| Mar 31, 2024 | 50.97 Mn |
| Dec 31, 2023 | 42.71 Mn |
| Sep 30, 2023 | 44.36 Mn |
| Jun 30, 2023 | 44.27 Mn |
| Mar 31, 2023 | 37.67 Mn |
| Dec 31, 2022 | 26.57 Mn |
| Sep 30, 2022 | 27.22 Mn |
| Jun 30, 2022 | 27.08 Mn |
| Mar 31, 2022 | 24.23 Mn |
| Dec 31, 2021 | 13.44 Mn |
| Sep 30, 2021 | 21.27 Mn |
Vera Therapeutics 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=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VERA", "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=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();