Lyra Therapeutics (LYRA) Return on Capital Employed [ROCE] (2020 - 2025)
Lyra Therapeutics' Return on Capital Employed [ROCE] was -102.09% in Q4 2025, up 58.70 percentage points from -160.79% a year earlier but down 10.75 percentage points from the prior quarter.
Lyra Therapeutics (LYRA) Return on Capital Employed [ROCE] (2020 - 2025) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Lyra Therapeutics came in at -74.38%, up 30.52 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -22.75 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -104.91% in FY2024 (-41.99 pp), -62.91% in FY2023 (+19.95 pp), -82.87% in FY2022 (+5.06 pp) and -87.93% in FY2021 (-36.30 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -163.79% (Q1 2025) and -35.48% (Q1 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of -24.11 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2023 (a gain of 93.42 percentage points); the worst was Q1 2022 (a drop of 128.24 percentage points).
- Per Business Quant data, LYRA's Return on Capital Employed [ROCE] in the three quarters before Q4 2025 was -91.34% (Q3 2025), -95.92% (Q2 2025) and -163.79% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Lyra Therapeutics | 266,232.31 | 266,232.31 | - | -102.09% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -102.09% |
| Sep 30, 2025 | -91.34% |
| Jun 30, 2025 | -95.92% |
| Mar 31, 2025 | -163.79% |
| Dec 31, 2024 | -160.79% |
| Sep 30, 2024 | -141.42% |
| Jun 30, 2024 | -107.11% |
| Mar 31, 2024 | -59.45% |
| Dec 31, 2023 | -59.93% |
| Sep 30, 2023 | -63.33% |
| Jun 30, 2023 | -66.69% |
| Mar 31, 2023 | -70.30% |
| Dec 31, 2022 | -56.17% |
| Sep 30, 2022 | -49.30% |
| Jun 30, 2022 | -65.37% |
| Mar 31, 2022 | -163.72% |
| Dec 31, 2021 | -101.27% |
| Sep 30, 2021 | -68.23% |
| Jun 30, 2021 | -47.02% |
| Mar 31, 2021 | -35.48% |
Lyra Therapeutics 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=LYRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LYRA", "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=LYRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();