Decoy Therapeutics (DCOY) Return on Capital Employed [ROCE] (2015 - 2026)
Decoy Therapeutics (DCOY) recorded Return on Capital Employed [ROCE] of -368.17% in Q2 2026, down 114.44 percentage points from the prior quarter.
Decoy Therapeutics (DCOY) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Decoy Therapeutics reported Return on Capital Employed [ROCE] of -673.79%, down 499.67 percentage points from FY2024.
- Across earlier years, Return on Capital Employed [ROCE] came in at -174.11% in FY2024.
- Quarterly Return on Capital Employed [ROCE] has ranged from -370.00% in Q4 2025 to -253.73% in Q1 2026 over the past five years.
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 | Decoy Therapeutics | 941,583.35 | 941,583.35 | - | -368.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -368.17% |
| Mar 31, 2026 | -253.73% |
| Dec 31, 2025 | -370.00% |
| Dec 31, 2024 | -297.15% |
| Jun 30, 2019 | -72.15% |
| Mar 31, 2019 | -199.92% |
| Dec 31, 2018 | -215.08% |
| Sep 30, 2018 | -203.29% |
| Jun 30, 2018 | -195.67% |
| Mar 31, 2018 | -131.33% |
| Dec 31, 2017 | -107.67% |
| Sep 30, 2017 | -85.59% |
| Jun 30, 2017 | -75.62% |
| Mar 31, 2017 | -68.64% |
| Dec 31, 2016 | -63.62% |
| Sep 30, 2016 | -56.76% |
| Jun 30, 2016 | -46.97% |
| Mar 31, 2016 | -37.32% |
| Dec 31, 2015 | -30.73% |
Decoy 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=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DCOY", "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=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();