Decoy Therapeutics (DCOY) Accounts Payables (2014 - 2026)
Decoy Therapeutics (DCOY) posted Accounts Payables of $1.33 million for Q2 2026, down 10.5% from $1.48 million a year earlier but up 41.7% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, Decoy Therapeutics' Accounts Payables came in at $940,586, up 0.4% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, Decoy Therapeutics' Accounts Payables was $936,994 in FY2024 (+55.4%), $602,853 in FY2023 (-78.9%), $2.86 million in FY2022 (+85.2%) and $1.54 million in FY2021 (-16.8%).
- Quarterly Accounts Payables has run from a low of $165,801 in Q3 2024 to a high of $3.51 million in Q1 2023 over five years.
- On a year-over-year basis, Accounts Payables increased in five of the last eight quarters, with growth averaging 90.8%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q3 2025, with growth of 566.0%; the weakest was Q3 2024, with a decline of 84.8%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $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) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Decoy Therapeutics | 1.05 Mn | 1.05 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 | 1.47 Mn |
| Dec 31, 2024 | 936,994.00 |
| Sep 30, 2024 | 165,801.00 |
| Jun 30, 2024 | 643,051.00 |
| Mar 31, 2024 | 713,957.00 |
| Dec 31, 2023 | 602,853.00 |
| Sep 30, 2023 | 1.09 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 Accounts 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=accounts-payables&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();