DBV Technologies (DBVT) Non-Current Assets (2015 - 2026)
DBV Technologies (DBVT) posted Non-Current Assets of $21.3 million for Q2 2026, down 4.0% from $22.19 million a year earlier but up 8.1% from the prior quarter.
DBV Technologies (DBVT) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, DBV Technologies' Non-Current Assets came in at $20.8 million, down 2.2% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- In prior years, DBV Technologies' Non-Current Assets was $21.27 million in FY2024 (-11.6%), $24.07 million in FY2023 (+2.7%), $23.44 million in FY2022 (-27.5%) and $32.34 million in FY2021 (-50.2%).
- Quarterly Non-Current Assets has run from a low of $19.7 million in Q1 2026 to a high of $60.79 million in Q3 2021 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last seven quarters, with an average decline of 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2024, with growth of 18.4%; the weakest was Q3 2022, with a decline of 63.1%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $19.7 million (Q1 2026), $20.8 million (Q4 2025) and $21.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | DBV Technologies | 5.05 Bn | 4.38 Bn | - | 21.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.30 Mn |
| Mar 31, 2026 | 19.70 Mn |
| Dec 31, 2025 | 20.80 Mn |
| Sep 30, 2025 | 21.61 Mn |
| Jun 30, 2025 | 22.19 Mn |
| Mar 31, 2025 | 21.41 Mn |
| Dec 31, 2024 | 21.27 Mn |
| Sep 30, 2024 | 24.30 Mn |
| Jun 30, 2024 | 24.23 Mn |
| Mar 31, 2024 | 26.33 Mn |
| Dec 31, 2023 | 24.07 Mn |
| Sep 30, 2023 | 20.51 Mn |
| Jun 30, 2023 | 21.98 Mn |
| Mar 31, 2023 | 22.69 Mn |
| Dec 31, 2022 | 23.44 Mn |
| Sep 30, 2022 | 22.42 Mn |
| Jun 30, 2022 | 25.03 Mn |
| Mar 31, 2022 | 27.14 Mn |
| Dec 31, 2021 | 32.34 Mn |
| Sep 30, 2021 | 60.79 Mn |
DBV Technologies Non-Current Assets 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=non-current-assets&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();