Decoy Therapeutics (DCOY) Non-Current Assets (2014 - 2026)
Decoy Therapeutics (DCOY) recorded Non-Current Assets of $427,852 in Q2 2026, compared with $33,200 a year earlier and up 552.0% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Decoy Therapeutics reported Non-Current Assets of $71,547, up 102.0% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -62.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $35,412 in FY2024 (-47.0%), $66,850 in FY2023 (-48.8%), $130,501 in FY2022 (-98.8%) and $10.67 million in FY2021 (+16.8%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q3 2022.
- On a year-over-year basis, Non-Current Assets rose in two of the last seven quarters, with growth averaging 3.9%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 102.0% in Q4 2025, against a decline of 99.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $65,623 (Q1 2026), $71,547 (Q4 2025) and $32,094 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Decoy Therapeutics | 1.23 Mn | 1.23 Mn | - | 427,852.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 427,852.00 |
| Mar 31, 2026 | 65,623.00 |
| Dec 31, 2025 | 71,547.00 |
| Sep 30, 2025 | 32,094.00 |
| Jun 30, 2025 | 33,200.00 |
| Mar 31, 2025 | 34,306.00 |
| Dec 31, 2024 | 35,412.00 |
| Sep 30, 2024 | 36,518.00 |
| Jun 30, 2024 | 39,931.00 |
| Mar 31, 2024 | 53,390.00 |
| Dec 31, 2023 | 66,850.00 |
| Sep 30, 2023 | 80,444.00 |
| Jun 30, 2023 | 99,048.00 |
| Mar 31, 2023 | 114,852.00 |
| Dec 31, 2022 | 130,501.00 |
| Sep 30, 2022 | 1.76 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 10.65 Mn |
| Dec 31, 2021 | 10.67 Mn |
| Sep 30, 2021 | 9.08 Mn |
API Access
Decoy Therapeutics Non-Current Assets 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=non-current-assets&ticker=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();