Aura Biosciences (AURA) Return on Capital Employed [ROCE] (2021 - 2026)
Aura Biosciences' Return on Capital Employed [ROCE] came in at -61.82% for Q2 2026, up 4.03 percentage points from -65.85% a year earlier and up 24.86 percentage points from the prior quarter.
Aura Biosciences (AURA) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Aura Biosciences' Return on Capital Employed [ROCE] was -71.58%, down 24.43 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, with a four-year change of -29.47 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -47.14% in FY2024 (-9.73 pp), -37.42% in FY2023 (-4.20 pp), -33.22% in FY2022 (+8.89 pp) and -42.11% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- Year-over-year, Return on Capital Employed [ROCE] increased in 1 of the last eight quarters, with an average year-over-year change of -14.63 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 4.03 percentage points), and the weakest in Q1 2025 (a drop of 28.26 percentage points).
- Business Quant data shows AURA's Return on Capital Employed [ROCE] at -86.68% (Q1 2026), -69.91% (Q4 2025) and -63.55% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Aura Biosciences | 796.17 Mn | 542.36 Mn | - | -46.32% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -46.32% |
| Jun 30, 2026 | -61.82% |
| Mar 31, 2026 | -86.68% |
| Dec 31, 2025 | -69.91% |
| Sep 30, 2025 | -63.55% |
| Jun 30, 2025 | -65.85% |
| Mar 31, 2025 | -65.59% |
| Dec 31, 2024 | -53.69% |
| Sep 30, 2024 | -47.23% |
| Jun 30, 2024 | -41.81% |
| Mar 31, 2024 | -37.33% |
| Dec 31, 2023 | -41.45% |
| Sep 30, 2023 | -44.38% |
| Jun 30, 2023 | -38.53% |
| Mar 31, 2023 | -32.35% |
| Dec 31, 2022 | -34.84% |
| Sep 30, 2022 | -42.06% |
| Jun 30, 2022 | -34.95% |
| Mar 31, 2022 | -28.43% |
| Dec 31, 2021 | -29.87% |
Aura Biosciences 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=AURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "AURA", "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=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();