DBV Technologies (DBVT) Cash & Equivalents (2012 - 2026)
DBV Technologies (DBVT) recorded Cash & Equivalents of $165.7 million in Q3 2026, up 137.3% from $69.84 million a year earlier but down 5.3% from the prior quarter.
DBV Technologies (DBVT) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, DBV Technologies reported Cash & Equivalents of $194.2 million, up 498.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $32.46 million in FY2024 (-77.0%), $141.37 million in FY2023 (-32.4%), $209.19 million in FY2022 (+170.6%) and $77.3 million in FY2021 (-60.6%).
- Quarterly Cash & Equivalents has ranged from $12.96 million in Q1 2025 to $247.97 million in Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last seven quarters, with growth averaging 92.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 498.3% in Q4 2025, against a decline of 87.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $174.9 million (Q2 2026), $229.2 million (Q1 2026) and $194.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | DBV Technologies | 1.04 Bn | 274.26 Mn | - | 165.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.70 Mn |
| Jun 30, 2026 | 174.90 Mn |
| Mar 31, 2026 | 229.20 Mn |
| Dec 31, 2025 | 194.20 Mn |
| Sep 30, 2025 | 69.84 Mn |
| Jun 30, 2025 | 103.21 Mn |
| Mar 31, 2025 | 12.96 Mn |
| Dec 31, 2024 | 32.46 Mn |
| Sep 30, 2024 | 46.44 Mn |
| Jun 30, 2024 | 66.21 Mn |
| Mar 31, 2024 | 101.53 Mn |
| Dec 31, 2023 | 141.37 Mn |
| Sep 30, 2023 | 149.14 Mn |
| Jun 30, 2023 | 173.96 Mn |
| Mar 31, 2023 | 192.29 Mn |
| Dec 31, 2022 | 209.19 Mn |
| Sep 30, 2022 | 212.67 Mn |
| Jun 30, 2022 | 247.97 Mn |
| Mar 31, 2022 | 74.11 Mn |
| Dec 31, 2021 | 77.30 Mn |
DBV Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();