Dogwood Therapeutics (DWTX) Intangibles (2024 - 2026)
Dogwood Therapeutics (DWTX) reported Intangibles of $57.35 million for Q2 2026, down 17.3% from $69.3 million a year earlier and down 15.5% from the prior quarter.
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Analysis
Dogwood Therapeutics (DWTX) Intangibles (2024 - 2026) Analysis & Trends
At the end of FY2025, Dogwood Therapeutics posted Intangibles of $68.99 million, up 5.0% from FY2024.
- By year, Intangibles came in at $65.71 million in FY2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.83 million (Q1 2026), $68.99 million (Q4 2025) and $67.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 18.08 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 46.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 56.65 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 24.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 11.80 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 38.15 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 19.54 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 13.42 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 45.96 Bn |
| 10 | Dogwood Therapeutics | 41.98 Mn | 7.67 Mn | 11,896.00 | 57.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.44 Mn |
| Jun 30, 2026 | 57.35 Mn |
| Mar 31, 2026 | 67.83 Mn |
| Dec 31, 2025 | 68.99 Mn |
| Sep 30, 2025 | 67.92 Mn |
| Jun 30, 2025 | 69.30 Mn |
| Mar 31, 2025 | 65.77 Mn |
| Dec 31, 2024 | 65.71 Mn |
API Access
Dogwood Therapeutics Intangibles 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=intangibles&ticker=DWTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();