Decoy Therapeutics (DCOY) Payables (2014 - 2026)
Decoy Therapeutics (DCOY) recorded Payables of $1.33 million in Q2 2026, down 10.5% from $1.48 million a year earlier but up 41.7% from the prior quarter.
Powered by 
Analysis
Decoy Therapeutics (DCOY) Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, Decoy Therapeutics reported Payables of $940,586, down 18.8% from FY2024.
- Annual Payables has a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- Across earlier years, Payables came in at $1.16 million in FY2024 (+28.4%), $902,853 in FY2023 (-68.4%), $2.86 million in FY2022 (+85.2%) and $1.54 million in FY2021 (-34.4%).
- Quarterly Payables has ranged from $494,650 in Q3 2024 to $3.51 million in Q1 2023 over the past five years.
- On a year-over-year basis, Payables has declined for three consecutive quarters, with growth averaging 29.2% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 130.5% in Q2 2025, against a decline of 76.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $936,030 (Q1 2026), $940,586 (Q4 2025) and $1.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 20.92 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.96 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 7.03 Bn |
| 10 | Decoy Therapeutics | 571,865.63 | -31.06 Mn | - | 1.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Mn |
| Mar 31, 2026 | 936,030.00 |
| Dec 31, 2025 | 940,586.00 |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 494,650.00 |
| Jun 30, 2024 | 643,051.00 |
| Mar 31, 2024 | 830,812.00 |
| Dec 31, 2023 | 902,853.00 |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 2.29 Mn |
| Mar 31, 2023 | 3.51 Mn |
| Dec 31, 2022 | 2.86 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | 1.69 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 1.23 Mn |
API Access
Decoy Therapeutics 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=payables&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();