Dermata Therapeutics (DRMA) Selling, General & Administrative (2020 - 2026)
Dermata Therapeutics' Selling, General & Administrative was $1.54 million in Q1 2026, up 45.7% from $1.06 million a year earlier and up 12.3% from the prior quarter.
Dermata Therapeutics (DRMA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dermata Therapeutics' Selling, General & Administrative was $5.33 million through Mar 31, 2026, up 41.5% year-over-year; for FY2025, it was $4.84 million, up 12.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $4.31 million in FY2024 (+8.5%), $3.97 million in FY2023 (-1.3%), $4.02 million in FY2022 (-8.5%) and $4.4 million in FY2021 (+181.0%).
- The Q1 2026 figure marks the highest quarterly Selling, General & Administrative since Q1 2024.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 14.3% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 282.1%); the worst was Q4 2022 (a decline of 42.9%).
- Per Business Quant data, DRMA's Selling, General & Administrative in the three quarters before Q1 2026 was $1.37 million (Q4 2025), $1.26 million (Q3 2025) and $1.15 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Dermata Therapeutics | 4.42 Mn | 4.42 Mn | - | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 824,294.00 |
| Jun 30, 2024 | 874,640.00 |
| Mar 31, 2024 | 1.60 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 909,001.00 |
| Jun 30, 2023 | 893,483.00 |
| Mar 31, 2023 | 1.09 Mn |
| Dec 31, 2022 | 822,334.00 |
| Sep 30, 2022 | 892,777.00 |
| Jun 30, 2022 | 1.12 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 912,490.00 |
| Jun 30, 2021 | 462,772.00 |
Dermata 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=DRMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DRMA", "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=DRMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();