DBV Technologies (DBVT) Total Current Liabilities (2015 - 2026)
DBV Technologies (DBVT) recorded Total Current Liabilities of $54.3 million in Q2 2026, up 9.9% from $49.43 million a year earlier and up 4.8% from the prior quarter.
DBV Technologies (DBVT) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, DBV Technologies reported Total Current Liabilities of $58 million, up 86.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $31.14 million in FY2024 (-16.6%), $37.34 million in FY2023 (+26.5%), $29.52 million in FY2022 (-6.0%) and $31.4 million in FY2021 (-40.4%).
- Quarterly Total Current Liabilities has ranged from $26.03 million in Q1 2022 to $58 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 86.3% in Q4 2025, against a decline of 40.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.8 million (Q1 2026), $58 million (Q4 2025) and $49.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.42 Bn | 1,106.00 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 617.98 Bn | 536.51 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 502.80 Bn | 475.92 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 368.67 Bn | 323.05 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.36 Bn | 262.35 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.17 Bn | 234.85 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.18 Bn | 192.58 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.11 Bn | 165.31 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn | 32.65 Bn |
| 10 | DBV Technologies | 830.65 Mn | 162.52 Mn | - | 54.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.30 Mn |
| Mar 31, 2026 | 51.80 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | 49.49 Mn |
| Jun 30, 2025 | 49.43 Mn |
| Mar 31, 2025 | 40.38 Mn |
| Dec 31, 2024 | 31.14 Mn |
| Sep 30, 2024 | 30.91 Mn |
| Jun 30, 2024 | 27.38 Mn |
| Mar 31, 2024 | 26.48 Mn |
| Dec 31, 2023 | 37.34 Mn |
| Sep 30, 2023 | 31.44 Mn |
| Jun 30, 2023 | 33.37 Mn |
| Mar 31, 2023 | 32.78 Mn |
| Dec 31, 2022 | 29.52 Mn |
| Sep 30, 2022 | 28.39 Mn |
| Jun 30, 2022 | 30.43 Mn |
| Mar 31, 2022 | 26.03 Mn |
| Dec 31, 2021 | 31.40 Mn |
| Sep 30, 2021 | 33.81 Mn |
DBV Technologies Total Current 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-current-liabilities&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();