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 | 1,082.65 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 | Aura Biosciences | 625.02 Mn | 365.32 Mn | - | -61.82% |
Historic Data
| Date | Value |
|---|---|
| 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();