Decoy Therapeutics (DCOY) Notes Payables (2019 - 2025)
Decoy Therapeutics' Notes Payables was $112,230 in Q1 2025, down 4.0% from $116,855 a year earlier and down 49.4% from the prior quarter.
Analysis
Decoy Therapeutics (DCOY) Notes Payables (2019 - 2025) Analysis & Trends
At the end of FY2024, Notes Payables at Decoy Therapeutics came in at $221,866, down 26.0% from FY2023.
- Notes Payables shows a five-year compound annual growth rate of -15.1% (FY2019 to FY2024).
- In earlier years, Notes Payables was $300,000 in FY2023 and $500,000 in FY2020 (-0.5%).
- The Q1 2025 figure marks the lowest quarterly Notes Payables in data going back to Q3 2019.
- Compared with a year earlier, Notes Payables has declined for three straight quarters.
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 |
|---|---|
| Mar 31, 2025 | 112,230.00 |
| Dec 31, 2024 | 221,866.00 |
| Sep 30, 2024 | 328,849.00 |
| Mar 31, 2024 | 116,855.00 |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 500,000.00 |
| Mar 31, 2021 | 200,000.00 |
| Dec 31, 2020 | 500,000.00 |
| Sep 30, 2020 | 761,096.00 |
| Mar 31, 2020 | 252,679.00 |
| Dec 31, 2019 | 502,332.00 |
| Sep 30, 2019 | 749,157.00 |
API Access
Decoy Therapeutics Notes Payables 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=notes-payables&ticker=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();