DBV Technologies (DBVT) Total Liabilities (2015 - 2026)
DBV Technologies (DBVT) reported Total Liabilities of $62.8 million for Q2 2026, up 9.7% from $57.23 million a year earlier and up 7.4% from the prior quarter.
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Analysis
DBV Technologies (DBVT) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, DBV Technologies posted Total Liabilities of $64.9 million, up 69.6% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $38.26 million in FY2024 (-10.6%), $42.8 million in FY2023 (-17.8%), $52.07 million in FY2022 (+9.7%) and $47.45 million in FY2021 (-28.9%).
- Five-year quarterly Total Liabilities spans a low of $34.24 million in Q1 2024 and a high of $64.9 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last six quarters, with growth averaging 28.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2025 (growth of 69.6%); the low point was Q1 2024 (a decline of 36.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58.5 million (Q1 2026), $64.9 million (Q4 2025) and $57.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | DBV Technologies | 5.05 Bn | 4.38 Bn | - | 62.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.80 Mn |
| Mar 31, 2026 | 58.50 Mn |
| Dec 31, 2025 | 64.90 Mn |
| Sep 30, 2025 | 57.64 Mn |
| Jun 30, 2025 | 57.23 Mn |
| Mar 31, 2025 | 47.66 Mn |
| Dec 31, 2024 | 38.26 Mn |
| Sep 30, 2024 | 39.02 Mn |
| Jun 30, 2024 | 35.10 Mn |
| Mar 31, 2024 | 34.24 Mn |
| Dec 31, 2023 | 42.80 Mn |
| Sep 30, 2023 | 45.79 Mn |
| Jun 30, 2023 | 53.28 Mn |
| Mar 31, 2023 | 53.84 Mn |
| Dec 31, 2022 | 52.07 Mn |
| Sep 30, 2022 | 36.07 Mn |
| Jun 30, 2022 | 40.56 Mn |
| Mar 31, 2022 | 35.52 Mn |
| Dec 31, 2021 | 47.45 Mn |
| Sep 30, 2021 | 54.03 Mn |
API Access
DBV Technologies Total Liabilities 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=total-liabilities&ticker=DBVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();