DBV Technologies (DBVT) Selling, General & Administrative (2020 - 2026)
DBV Technologies (DBVT) reported Selling, General & Administrative of $14.6 million for Q2 2026, up 71.8% from $8.5 million a year earlier and up 39.0% from the prior quarter.
DBV Technologies (DBVT) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DBV Technologies' Selling, General & Administrative came in at $43.8 million, up 66.0% year-over-year; for FY2025, it came in at $32.79 million, up 14.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $28.74 million in FY2024 (-2.6%), $29.5 million in FY2023 (+21.3%), $24.32 million in FY2022 (-20.3%) and $30.52 million in FY2021 (-13.0%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 30.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 125.6%); the low point was Q4 2021 (a decline of 48.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.5 million (Q1 2026), $11.44 million (Q4 2025) and $7.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 6.43 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.63 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.90 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -3.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -5.65 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.75 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.92 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 3.41 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 582.20 Mn |
| 10 | DBV Technologies | 5.10 Bn | 4.43 Bn | - | 14.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.60 Mn |
| Mar 31, 2026 | 10.50 Mn |
| Dec 31, 2025 | 11.44 Mn |
| Sep 30, 2025 | 7.26 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 5.07 Mn |
| Sep 30, 2024 | 7.22 Mn |
| Jun 30, 2024 | 8.64 Mn |
| Mar 31, 2024 | 7.80 Mn |
| Dec 31, 2023 | 7.20 Mn |
| Sep 30, 2023 | 6.18 Mn |
| Jun 30, 2023 | 9.23 Mn |
| Mar 31, 2023 | 6.89 Mn |
| Dec 31, 2022 | 7.15 Mn |
| Sep 30, 2022 | 4.84 Mn |
| Jun 30, 2022 | 5.70 Mn |
| Mar 31, 2022 | 6.63 Mn |
| Dec 31, 2021 | 4.27 Mn |
| Sep 30, 2021 | 8.30 Mn |
DBV Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=DBVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();