DBV Technologies (DBVT) Shares Outstanding (Entity) (2015 - 2026)
DBV Technologies' Shares Outstanding (Entity) came in at 433.54 million for Q2 2026, up 216.5% from 136.97 million a year earlier and up 1.2% from the prior quarter.
DBV Technologies (DBVT) Shares Outstanding (Entity) (2015 - 2026) Analysis & Trends
For FY2025, DBV Technologies' Shares Outstanding (Entity) was 139.57 million, up 35.7% from FY2024.
- Shares Outstanding (Entity) has increased in each of the last ten years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 102.85 million in FY2024 (+6.7%), 96.43 million in FY2023 (+24.6%), 77.38 million in FY2022 (+40.5%) and 55.1 million in FY2021 (+0.3%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2015.
- Year-over-year, Shares Outstanding (Entity) has increased for 21 consecutive quarters, with growth averaging 83.3% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.2% (Q3 2021) and 317.4% (Q1 2026) over the last five years.
- Business Quant data shows DBVT's Shares Outstanding (Entity) at 428.3 million (Q1 2026), 139.57 million (Q4 2025) and 136.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 540.60 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 253.35 Mn |
| 10 | DBV Technologies | 5.01 Bn | 4.34 Bn | - | 433.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 433.54 Mn |
| Mar 31, 2026 | 428.30 Mn |
| Dec 31, 2025 | 139.57 Mn |
| Sep 30, 2025 | 136.81 Mn |
| Jun 30, 2025 | 136.97 Mn |
| Mar 31, 2025 | 102.62 Mn |
| Dec 31, 2024 | 102.85 Mn |
| Sep 30, 2024 | 96.50 Mn |
| Jun 30, 2024 | 96.50 Mn |
| Mar 31, 2024 | 96.43 Mn |
| Dec 31, 2023 | 96.43 Mn |
| Sep 30, 2023 | 96.29 Mn |
| Jun 30, 2023 | 96.25 Mn |
| Mar 31, 2023 | 94.15 Mn |
| Dec 31, 2022 | 77.38 Mn |
| Sep 30, 2022 | 94.03 Mn |
| Jun 30, 2022 | 66.05 Mn |
| Mar 31, 2022 | 55.10 Mn |
| Dec 31, 2021 | 55.10 Mn |
| Sep 30, 2021 | 55.01 Mn |
DBV Technologies Shares Outstanding (Entity) 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-entity&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "DBVT", "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-entity&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();