Decoy Therapeutics (DCOY) Cash & Equivalents (2017 - 2026)
Decoy Therapeutics' Cash & Equivalents came in at $8.29 million for Q2 2026, up 942.8% from $794,886 a year earlier and up 6.0% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Decoy Therapeutics' Cash & Equivalents was $10.71 million, up 339.9% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $2.43 million in FY2024 (-58.7%), $5.9 million in FY2023 (-51.3%), $12.11 million in FY2022 (-58.6%) and $29.21 million in FY2021 (+162.8%).
- The five-year range for quarterly Cash & Equivalents is $794,886 (Q2 2025) to $31.9 million (Q3 2021).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 176.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2026 (growth of 942.8%), and the weakest in Q2 2025 (a decline of 75.7%).
- Business Quant data shows DCOY's Cash & Equivalents at $7.82 million (Q1 2026), $10.71 million (Q4 2025) and $4.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Decoy Therapeutics | 989,460.49 | 989,460.49 | - | 8.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.29 Mn |
| Mar 31, 2026 | 7.82 Mn |
| Dec 31, 2025 | 10.71 Mn |
| Sep 30, 2025 | 4.81 Mn |
| Jun 30, 2025 | 794,886.00 |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 3.27 Mn |
| Mar 31, 2024 | 4.37 Mn |
| Dec 31, 2023 | 5.90 Mn |
| Sep 30, 2023 | 7.58 Mn |
| Jun 30, 2023 | 11.54 Mn |
| Mar 31, 2023 | 9.27 Mn |
| Dec 31, 2022 | 12.11 Mn |
| Sep 30, 2022 | 16.82 Mn |
| Jun 30, 2022 | 22.65 Mn |
| Mar 31, 2022 | 24.19 Mn |
| Dec 31, 2021 | 29.21 Mn |
| Sep 30, 2021 | 31.90 Mn |
API Access
Decoy Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();