Decoy Therapeutics (DCOY) Return on Assets [ROA] (2015 - 2026)
Decoy Therapeutics (DCOY) posted Return on Assets [ROA] of -169.46% for Q2 2026, up 105.35 percentage points from -274.81% a year earlier but down 35.06 percentage points from the prior quarter.
Decoy Therapeutics (DCOY) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2025, Decoy Therapeutics' Return on Assets [ROA] came in at -179.18%, down 59.83 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -141.31 percentage points (FY2020 to FY2025).
- In prior years, Decoy Therapeutics' Return on Assets [ROA] was -119.35% in FY2024 (+2.09 pp), -121.44% in FY2023 (-6.66 pp), -114.77% in FY2022 (-75.81 pp) and -38.97% in FY2021 (-1.09 pp).
- Quarterly Return on Assets [ROA] has run from a low of -274.81% in Q2 2025 to a high of -22.76% in Q3 2021 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of +9.18 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q2 2024, with a gain of 116.98 percentage points; the weakest was Q2 2023, with a drop of 218.21 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -134.40% (Q1 2026), -146.62% (Q4 2025) and -134.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | Decoy Therapeutics | 941,583.35 | 941,583.35 | - | -169.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -169.46% |
| Mar 31, 2026 | -134.40% |
| Dec 31, 2025 | -146.62% |
| Sep 30, 2025 | -134.30% |
| Jun 30, 2025 | -274.81% |
| Mar 31, 2025 | -208.67% |
| Dec 31, 2024 | -162.76% |
| Sep 30, 2024 | -137.13% |
| Jun 30, 2024 | -155.34% |
| Mar 31, 2024 | -157.04% |
| Dec 31, 2023 | -168.53% |
| Sep 30, 2023 | -177.31% |
| Jun 30, 2023 | -272.32% |
| Mar 31, 2023 | -250.52% |
| Dec 31, 2022 | -184.53% |
| Sep 30, 2022 | -110.09% |
| Jun 30, 2022 | -54.10% |
| Mar 31, 2022 | -44.71% |
| Dec 31, 2021 | -30.10% |
| Sep 30, 2021 | -22.76% |
Decoy Therapeutics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();