Dogwood Therapeutics (DWTX) Research & Development (2020 - 2026)
Dogwood Therapeutics' Research & Development came in at $3.25 million for Q2 2026, up 26.3% from $2.57 million a year earlier and up 21.6% from the prior quarter.
Dogwood Therapeutics (DWTX) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dogwood Therapeutics reported Research & Development of $22.78 million, up 189.8% year-over-year; for FY2025, it was $21.87 million, up 519.3% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 157.3% (FY2020 to FY2025).
- Going back by year, Research & Development was $3.53 million in FY2024 (+104.3%), $1.73 million in FY2023 (-78.6%), $8.07 million in FY2022 (-25.3%) and $10.8 million in FY2021.
- The five-year range for quarterly Research & Development is $298,321 (Q4 2023) to $14.52 million (Q3 2025).
- Year-over-year, Research & Development has increased for three consecutive quarters, with growth averaging 290.0% over the last seven quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2024 (growth of 676.3%), and the weakest in Q1 2023 (a decline of 82.0%).
- Business Quant data shows DWTX's Research & Development at $2.67 million (Q1 2026), $2.34 million (Q4 2025) and $14.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Dogwood Therapeutics | 38.91 Mn | -581,636.07 | - | 3.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.25 Mn |
| Mar 31, 2026 | 2.67 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 14.52 Mn |
| Jun 30, 2025 | 2.57 Mn |
| Mar 31, 2025 | 2.44 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 535,162.00 |
| Jun 30, 2024 | 336,084.00 |
| Mar 31, 2024 | 343,717.00 |
| Dec 31, 2023 | 298,321.00 |
| Sep 30, 2023 | 374,200.00 |
| Jun 30, 2023 | 557,843.00 |
| Mar 31, 2023 | 497,714.00 |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 2.41 Mn |
| Mar 31, 2022 | 2.77 Mn |
| Dec 31, 2021 | 2.92 Mn |
| Sep 30, 2021 | 2.96 Mn |
Dogwood Therapeutics Research & Development 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=research-and-development&ticker=DWTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();