DBV Technologies (DBVT) Shares Outstanding (2015 - 2026)
DBV Technologies (DBVT) posted Shares Outstanding of 433.54 million for Q2 2026, up 222.4% from 134.48 million a year earlier and up 1.2% from the prior quarter.
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Analysis
DBV Technologies (DBVT) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, DBV Technologies' Shares Outstanding came in at 139.57 million, up 43.9% from FY2024.
- Annual Shares Outstanding has increased for ten consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, DBV Technologies' Shares Outstanding was 97 million in FY2024 (+2.0%), 95.12 million in FY2023 (+22.9%), 77.38 million in FY2022 (+40.9%) and 54.92 million in FY2021 (+1.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q4 2015.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 23 quarters, with growth averaging 84.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.1% (Q1 2022) to 317.4% (Q1 2026).
- According to Business Quant data, Shares Outstanding for the three prior quarters was 428.3 million (Q1 2026), 139.57 million (Q4 2025) and 136.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 1.94 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 540.00 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 | 253.70 Mn |
| 10 | DBV Technologies | 5.01 Bn | 4.34 Bn | - | 433.54 Mn |
Historic Data
Download Data
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 | 134.48 Mn |
| Mar 31, 2025 | 102.62 Mn |
| Dec 31, 2024 | 97.00 Mn |
| Sep 30, 2024 | 96.20 Mn |
| Jun 30, 2024 | 96.17 Mn |
| Mar 31, 2024 | 96.18 Mn |
| Dec 31, 2023 | 95.12 Mn |
| Sep 30, 2023 | 96.08 Mn |
| Jun 30, 2023 | 94.32 Mn |
| Mar 31, 2023 | 93.97 Mn |
| Dec 31, 2022 | 77.38 Mn |
| Sep 30, 2022 | 93.91 Mn |
| Jun 30, 2022 | 66.05 Mn |
| Mar 31, 2022 | 54.93 Mn |
| Dec 31, 2021 | 54.92 Mn |
| Sep 30, 2021 | 54.95 Mn |
API Access
DBV Technologies Shares Outstanding 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&ticker=DBVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();