Dogwood Therapeutics (DWTX) Accumulated Expenses (2020 - 2026)
Dogwood Therapeutics (DWTX) reported Accumulated Expenses of $2.35 million for Q2 2026, up 76.6% from $1.33 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Dogwood Therapeutics (DWTX) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Dogwood Therapeutics posted Accumulated Expenses of $2.24 million, up 18.3% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.89 million in FY2024 (+668.3%), $246,635 in FY2023 (-47.5%), $470,098 in FY2022 (-49.0%) and $921,760 in FY2021 (+17.6%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 226.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2024 (growth of 668.3%); the low point was Q2 2023 (a decline of 75.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.35 million (Q1 2026), $2.24 million (Q4 2025) and $1.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Dogwood Therapeutics | 38.23 Mn | -1.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Mn |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 2.24 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2024 | 878,856.00 |
| Jun 30, 2024 | 282,314.00 |
| Mar 31, 2024 | 373,324.00 |
| Dec 31, 2023 | 246,635.00 |
| Sep 30, 2023 | 281,775.00 |
| Jun 30, 2023 | 305,727.00 |
| Mar 31, 2023 | 414,196.00 |
| Dec 31, 2022 | 470,098.00 |
| Sep 30, 2022 | 953,726.00 |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 921,760.00 |
| Sep 30, 2021 | 743,291.00 |
API Access
Dogwood Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=DWTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();