DBV Technologies (DBVT) Cash & Equivalents (2015 - 2026)
DBV Technologies (DBVT) recorded Cash & Equivalents of $174.9 million in Q2 2026, up 69.5% from $103.21 million a year earlier but down 23.7% from the prior quarter.
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Analysis
DBV Technologies (DBVT) Cash & Equivalents (2015 - 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 four of the last seven quarters, with growth averaging 63.0%.
- 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 $229.2 million (Q1 2026), $194.2 million (Q4 2025) and $69.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | DBV Technologies | 5.10 Bn | 4.43 Bn | - | 174.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 98.20 Mn |
API Access
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_KEYimport 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();