Dogwood Therapeutics (DWTX) Selling, General & Administrative (2020 - 2026)
Dogwood Therapeutics (DWTX) recorded Selling, General & Administrative of $1.63 million in Q2 2026, up 20.2% from $1.35 million a year earlier but down 32.4% from the prior quarter.
Dogwood Therapeutics (DWTX) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Dogwood Therapeutics' Selling, General & Administrative came in at $6.79 million as of Jun 30, 2026, down 34.3% year-over-year; for FY2025, it was $6.1 million, down 29.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $8.7 million in FY2024 (+133.8%), $3.72 million in FY2023 (-12.4%), $4.25 million in FY2022 (-12.4%) and $4.85 million in FY2021 (-50.6%).
- Quarterly Selling, General & Administrative has ranged from $733,740 in Q2 2024 to $5.23 million in Q4 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 93.8%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 522.3% in Q4 2024, against a decline of 80.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.41 million (Q1 2026), $1.47 million (Q4 2025) and $1.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Dogwood Therapeutics | 38.91 Mn | -581,636.07 | - | 1.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 2.41 Mn |
| Dec 31, 2025 | 1.47 Mn |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 5.23 Mn |
| Sep 30, 2024 | 1.77 Mn |
| Jun 30, 2024 | 733,740.00 |
| Mar 31, 2024 | 970,384.00 |
| Dec 31, 2023 | 839,805.00 |
| Sep 30, 2023 | 900,089.00 |
| Jun 30, 2023 | 919,374.00 |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 818,002.00 |
| Sep 30, 2022 | 969,946.00 |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.27 Mn |
| Sep 30, 2021 | 1.15 Mn |
Dogwood Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=DWTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();