Decoy Therapeutics (DCOY) Accumulated Expenses (2014 - 2026)
Decoy Therapeutics' Accumulated Expenses came in at $215,697 for Q2 2026, down 70.9% from $740,553 a year earlier and down 11.8% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Decoy Therapeutics' Accumulated Expenses was $861,748, up 144.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $352,419 in FY2024 (-13.4%), $406,745 in FY2023 (-71.1%), $1.41 million in FY2022 (+148.0%) and $567,787 in FY2021 (+48.2%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q2 2021.
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 16.5%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 331.1%), and the weakest in Q4 2023 (a decline of 71.1%).
- Business Quant data shows DCOY's Accumulated Expenses at $244,456 (Q1 2026), $861,748 (Q4 2025) and $744,783 (Q3 2025) in the three quarters before Q2 2026.
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 |
|---|---|
| Jun 30, 2026 | 215,697.00 |
| Mar 31, 2026 | 244,456.00 |
| Dec 31, 2025 | 861,748.00 |
| Sep 30, 2025 | 744,783.00 |
| Jun 30, 2025 | 740,553.00 |
| Mar 31, 2025 | 694,625.00 |
| Dec 31, 2024 | 352,419.00 |
| Sep 30, 2024 | 439,931.00 |
| Jun 30, 2024 | 535,418.00 |
| Mar 31, 2024 | 403,309.00 |
| Dec 31, 2023 | 406,745.00 |
| Sep 30, 2023 | 772,794.00 |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 985,393.00 |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 895,106.00 |
| Mar 31, 2022 | 390,233.00 |
| Dec 31, 2021 | 567,787.00 |
| Sep 30, 2021 | 323,364.00 |
API Access
Decoy Therapeutics Accumulated 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=accumulated-expenses&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();