Decoy Therapeutics (DCOY) Return on Equity [ROE] (2015 - 2026)
Decoy Therapeutics (DCOY) posted Return on Equity [ROE] of -360.16% for Q2 2026, down 92.09 percentage points from the prior quarter.
Decoy Therapeutics (DCOY) Return on Equity [ROE] (2015 - 2026) Analysis & Trends
For FY2025, Decoy Therapeutics' Return on Equity [ROE] came in at -340.89%, down 172.21 percentage points from FY2024.
- Annual Return on Equity [ROE] has declined for four consecutive years, with a five-year change of -295.97 percentage points (FY2020 to FY2025).
- In prior years, Decoy Therapeutics' Return on Equity [ROE] was -168.68% in FY2024 (-4.12 pp), -164.56% in FY2023 (-34.88 pp), -129.68% in FY2022 (-87.59 pp) and -42.09% in FY2021 (+2.82 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Equity [ROE] since Q1 2025.
- On a year-over-year basis, Return on Equity [ROE] increased in three of the last six quarters, with an average year-over-year change of -22.75 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q1 2026, with a gain of 443.03 percentage points; the weakest was Q1 2025, with a drop of 509.55 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was -268.07% (Q1 2026), -248.11% (Q4 2025) and -294.27% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Decoy Therapeutics | 1.05 Mn | 1.05 Mn | - | -360.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -360.16% |
| Mar 31, 2026 | -268.07% |
| Dec 31, 2025 | -248.11% |
| Sep 30, 2025 | -294.27% |
| Mar 31, 2025 | -711.10% |
| Dec 31, 2024 | -252.49% |
| Sep 30, 2024 | -191.80% |
| Jun 30, 2024 | -217.54% |
| Mar 31, 2024 | -201.55% |
| Dec 31, 2023 | -222.17% |
| Sep 30, 2023 | -250.23% |
| Jun 30, 2023 | -430.92% |
| Mar 31, 2023 | -388.20% |
| Dec 31, 2022 | -234.95% |
| Sep 30, 2022 | -123.72% |
| Jun 30, 2022 | -58.19% |
| Mar 31, 2022 | -47.31% |
| Dec 31, 2021 | -31.48% |
| Sep 30, 2021 | -23.57% |
| Jun 30, 2021 | -17.78% |
Decoy Therapeutics Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();