BioNTech SE (BNTX) Return on Sales [ROS] (2018 - 2026)
BioNTech SE (BNTX) reported Return on Sales [ROS] of 9.70% for Q3 2026, up 12.78 percentage points from -3.09% a year earlier and up 907.52 percentage points from the prior quarter.
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Analysis
BioNTech SE (BNTX) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, BioNTech SE's Return on Sales [ROS] came in at -75.96%, down 46.96 percentage points year-over-year; for FY2025, it was -48.95%, down 1.18 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -31.87 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -47.77% in FY2024 (-65.85 pp), 18.08% in FY2023 (-54.96 pp), 73.03% in FY2022 (-7.51 pp) and 80.54% in FY2021 (+97.62 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q4 2024.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -64.09 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 558.60 percentage points); the low point was Q2 2026 (a drop of 705.68 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -897.82% (Q2 2026), -573.67% (Q1 2026) and -35.57% (Q4 2025).
Peer Set
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 | BioNTech SE | 22.05 Bn | -37.46 Bn | 1.36 Bn | 9.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.70% |
| Jun 30, 2026 | -897.82% |
| Mar 31, 2026 | -573.67% |
| Dec 31, 2025 | -35.57% |
| Sep 30, 2025 | -3.09% |
| Jun 30, 2025 | -192.14% |
| Mar 31, 2025 | -292.18% |
| Dec 31, 2024 | 12.49% |
| Sep 30, 2024 | 0.84% |
| Jun 30, 2024 | -750.74% |
| Mar 31, 2024 | -270.36% |
| Dec 31, 2023 | 35.58% |
| Sep 30, 2023 | 8.16% |
| Jun 30, 2023 | -335.90% |
| Mar 31, 2023 | 51.25% |
| Dec 31, 2022 | 76.97% |
| Sep 30, 2022 | 68.98% |
| Jun 30, 2022 | 69.13% |
| Mar 31, 2022 | 74.56% |
| Dec 31, 2021 | 84.95% |
API Access
BioNTech SE 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=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BNTX", "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=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();