DBV Technologies (DBVT) Tax Provisions (2020 - 2026)
DBV Technologies (DBVT) reported Tax Provisions of $200,000 for Q2 2026, up 100.0% from $100,000 a year earlier and unchanged from the prior quarter.
DBV Technologies (DBVT) Tax Provisions (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DBV Technologies' Tax Provisions came in at $774,000, up 623.4% year-over-year; for FY2025, it came in at $491,000, up 792.7% from FY2024.
- By year, Tax Provisions came in at $55,000 in FY2024 (+685.7%), $7,000 in FY2023 (-90.0%), $70,000 in FY2022 and -$381,000 in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$17,000 in Q4 2022 and a high of $374,000 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 292.00 Mn |
| 10 | DBV Technologies | 5.05 Bn | 4.38 Bn | - | 200,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200,000.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 374,000.00 |
| Jun 30, 2025 | 100,000.00 |
| Dec 31, 2024 | 7,000.00 |
| Mar 31, 2024 | 48,000.00 |
| Dec 31, 2023 | -6,000.00 |
| Jun 30, 2023 | 13,000.00 |
| Dec 31, 2022 | -17,000.00 |
| Mar 31, 2022 | 87,000.00 |
| Dec 31, 2021 | 23,000.00 |
| Jun 30, 2021 | -434,000.00 |
| Mar 31, 2021 | 30,000.00 |
| Dec 31, 2020 | -20,000.00 |
| Sep 30, 2020 | 7,000.00 |
| Jun 30, 2020 | 3,000.00 |
DBV Technologies Tax Provisions 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=tax-provisions&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();