BioNTech SE (BNTX) Return on Capital Employed [ROCE] (2019 - 2026)
BioNTech SE's Return on Capital Employed [ROCE] was -9.74% in Q2 2026, down 5.61 percentage points from -4.13% a year earlier and down 2.56 percentage points from the prior quarter.
BioNTech SE (BNTX) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at BioNTech SE came in at -6.63%, down 0.16 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for four consecutive years, though with a five-year change of +2.09 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -6.47% in FY2024 (-9.57 pp), 3.10% in FY2023 (-59.65 pp), 62.75% in FY2022 (-107.78 pp) and 170.53% in FY2021 (+179.26 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q3 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -4.88 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2021 (a gain of 199.47 percentage points); the worst was Q1 2023 (a drop of 94.61 percentage points).
- Per Business Quant data, BNTX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -7.18% (Q1 2026), -6.21% (Q4 2025) and -4.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | BioNTech SE | 24.49 Bn | -34.88 Bn | 10.00 Mn | -9.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.74% |
| Mar 31, 2026 | -7.18% |
| Dec 31, 2025 | -6.21% |
| Sep 30, 2025 | -4.19% |
| Jun 30, 2025 | -4.13% |
| Mar 31, 2025 | -6.21% |
| Dec 31, 2024 | -6.57% |
| Sep 30, 2024 | -4.32% |
| Jun 30, 2024 | -4.00% |
| Mar 31, 2024 | -2.14% |
| Dec 31, 2023 | 3.04% |
| Sep 30, 2023 | 14.80% |
| Jun 30, 2023 | 24.87% |
| Mar 31, 2023 | 37.75% |
| Dec 31, 2022 | 58.71% |
| Sep 30, 2022 | 82.67% |
| Jun 30, 2022 | 100.79% |
| Mar 31, 2022 | 132.36% |
| Dec 31, 2021 | 103.96% |
| Sep 30, 2021 | 159.16% |
BioNTech SE Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();