DBV Technologies (DBVT) Enterprise Value (2015 - 2026)
DBV Technologies (DBVT) reported Enterprise Value of $6.94 billion for Q2 2026, up 502.3% from $1.15 billion a year earlier but down 20.5% from the prior quarter.
DBV Technologies (DBVT) Enterprise Value (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DBV Technologies' Enterprise Value came in at $6.44 billion, up 507.9% year-over-year; for FY2025, it was $2.48 billion, up 769.6% from FY2024.
- Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 93.5% (FY2020 to FY2025).
- By year, Enterprise Value came in at $285.34 million in FY2024 (+566.4%), $42.82 million in FY2023 (+55.1%), $27.6 million in FY2022 (-72.1%) and $99.01 million in FY2021 (+8.2%).
- Five-year quarterly Enterprise Value spans a low of $10.99 million in Q2 2024 and a high of $8.72 billion in Q1 2026.
- Year over year, Enterprise Value gained in three of the last four quarters, with growth averaging 439.3%.
- The high point for year-over-year Enterprise Value in five years was Q4 2025 (growth of 769.6%); the low point was Q2 2024 (a decline of 94.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.72 billion (Q1 2026), $2.48 billion (Q4 2025) and $1.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | DBV Technologies | 5.05 Bn | 4.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.94 Bn |
| Mar 31, 2026 | 8.72 Bn |
| Dec 31, 2025 | 2.48 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 686.89 Mn |
| Dec 31, 2024 | 285.34 Mn |
| Sep 30, 2024 | 21.11 Mn |
| Jun 30, 2024 | 10.99 Mn |
| Mar 31, 2024 | 43.13 Mn |
| Dec 31, 2023 | 42.82 Mn |
| Sep 30, 2023 | 112.77 Mn |
| Jun 30, 2023 | 191.79 Mn |
| Mar 31, 2023 | 125.93 Mn |
| Dec 31, 2022 | 27.60 Mn |
| Sep 30, 2022 | 120.18 Mn |
| Jun 30, 2022 | 88.87 Mn |
| Mar 31, 2022 | 101.10 Mn |
| Dec 31, 2021 | 99.01 Mn |
| Sep 30, 2021 | 440.91 Mn |
DBV Technologies Enterprise Value 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=enterprise-value&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();