Dogwood Therapeutics (DWTX) Non-Current Assets (2024 - 2026)
Dogwood Therapeutics' Non-Current Assets came in at $69.47 million for Q2 2026, down 15.3% from $81.99 million a year earlier and down 13.4% from the prior quarter.
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Analysis
Dogwood Therapeutics (DWTX) Non-Current Assets (2024 - 2026) Analysis & Trends
At the end of FY2025, Dogwood Therapeutics' Non-Current Assets was $81.74 million, up 5.1% from FY2024.
- Going back by year, Non-Current Assets was $77.76 million in FY2024.
- Business Quant data shows DWTX's Non-Current Assets at $80.2 million (Q1 2026), $81.74 million (Q4 2025) and $80.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.97 Bn | 1,135.56 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 644.38 Bn | 564.24 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 501.54 Bn | 474.65 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 359.36 Bn | 313.74 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 302.13 Bn | 266.12 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.59 Bn | 241.28 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 241.49 Bn | 196.89 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 192.85 Bn | 167.05 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 171.77 Bn | 118.41 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Dogwood Therapeutics | 39.25 Mn | -240,340.86 | - | 69.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.47 Mn |
| Mar 31, 2026 | 80.20 Mn |
| Dec 31, 2025 | 81.74 Mn |
| Sep 30, 2025 | 80.34 Mn |
| Jun 30, 2025 | 81.99 Mn |
| Mar 31, 2025 | 77.82 Mn |
| Dec 31, 2024 | 77.76 Mn |
API Access
Dogwood 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=DWTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "DWTX", "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=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();