Decoy Therapeutics (DCOY) Other Operating Expenses (2016 - 2025)
Decoy Therapeutics (DCOY) recorded Other Operating Expenses of $368,170 in Q4 2025.
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Analysis
Decoy Therapeutics (DCOY) Other Operating Expenses (2016 - 2025) Analysis & Trends
Starting with Q1 2016, Decoy Therapeutics' Other Operating Expenses history includes 13 quarters.
- Annual Other Operating Expenses has a three-year compound annual growth rate of -65.4% (FY2022 to FY2025).
- Across earlier years, Other Operating Expenses came in at $8.87 million in FY2022.
- The Q4 2025 figure is the highest quarterly Other Operating Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Decoy Therapeutics | 1.05 Mn | 1.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 368,170.00 |
| Sep 30, 2022 | 8.87 Mn |
| Dec 31, 2018 | 74,934.00 |
| Jun 30, 2018 | 179,945.00 |
| Mar 31, 2018 | 83,934.00 |
| Dec 31, 2017 | 133,343.00 |
| Sep 30, 2017 | 148,756.00 |
| Jun 30, 2017 | 145,325.00 |
| Mar 31, 2017 | 79,106.00 |
| Dec 31, 2016 | 133,706.00 |
| Sep 30, 2016 | 221,090.00 |
| Jun 30, 2016 | 110,931.00 |
| Mar 31, 2016 | 197,020.00 |
API Access
Decoy Therapeutics Other Operating Expenses 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=other-operating-expenses&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();