DBV Technologies (DBVT) Return on Sales [ROS] (2020 - 2026)
DBV Technologies' Return on Sales [ROS] was -7228.57% in Q2 2026, down 4488.57 percentage points from -2740.00% a year earlier and down 1906.35 percentage points from the prior quarter.
DBV Technologies (DBVT) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, DBV Technologies' Return on Sales [ROS] was -3543.10% through Jun 30, 2026, down 443.17 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).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -1865.24 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 Q2 2026 was -5322.22% (Q1 2026), -6984.65% (Q4 2025) and -1235.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | DBV Technologies | 4.86 Bn | 4.19 Bn | - | -7,228.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7,228.57% |
| Mar 31, 2026 | -5,322.22% |
| Dec 31, 2025 | -6,984.65% |
| Sep 30, 2025 | -1,235.65% |
| 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% |
| Sep 30, 2021 | -1,841.87% |
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();