DBV Technologies (DBVT) Return on Sales [ROS] (2015 - 2026)
DBV Technologies' Return on Sales [ROS] was -4050.00% in Q3 2026, down 2825.00 percentage points from -1225.00% a year earlier but up 3178.57 percentage points from the prior quarter.
DBV Technologies (DBVT) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, DBV Technologies' Return on Sales [ROS] was -5431.60% through Sep 30, 2026, down 3207.90 percentage points year-over-year; for FY2025, it came in at -2609.23%, up 166.70 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1200.55 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -2775.93% in FY2024 (-2289.97 pp), -485.96% in FY2023 (+1508.90 pp), -1994.86% in FY2022 (-267.21 pp) and -1727.65% in FY2021 (-318.97 pp).
- Quarterly Return on Sales [ROS] has moved between -7228.57% (Q2 2026) and -134.31% (Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -1972.13 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 1860.14 percentage points); the worst was Q2 2026 (a drop of 4488.57 percentage points).
- Per Business Quant data, DBVT's Return on Sales [ROS] in the three quarters before Q3 2026 was -7228.57% (Q2 2026), -5322.22% (Q1 2026) and -7084.28% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | DBV Technologies | 1.04 Bn | 274.26 Mn | - | -4,050.00% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4,050.00% |
| Jun 30, 2026 | -7,228.57% |
| Mar 31, 2026 | -5,322.22% |
| Dec 31, 2025 | -7,084.28% |
| Sep 30, 2025 | -1,225.00% |
| Jun 30, 2025 | -2,740.00% |
| Mar 31, 2025 | -3,325.00% |
| Dec 31, 2024 | -4,260.89% |
| Sep 30, 2024 | -2,829.10% |
| Jun 30, 2024 | -2,914.90% |
| Mar 31, 2024 | -2,029.71% |
| Dec 31, 2023 | -134.31% |
| Sep 30, 2023 | -770.24% |
| Jun 30, 2023 | -1,095.98% |
| Mar 31, 2023 | -964.68% |
| Dec 31, 2022 | -1,994.45% |
| Sep 30, 2022 | -868.85% |
| Jun 30, 2022 | -1,558.08% |
| Mar 31, 2022 | -658.72% |
| Dec 31, 2021 | -459.65% |
DBV Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DBVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DBVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();