Dermata Therapeutics (DRMA) Total Liabilities (2020 - 2026)
Dermata Therapeutics' Total Liabilities came in at $1.05 million for Q1 2026, down 61.1% from $2.7 million a year earlier and down 35.8% from the prior quarter.
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Analysis
Dermata Therapeutics (DRMA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Dermata Therapeutics' Total Liabilities was $1.64 million, down 16.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.97 million in FY2024 (+21.5%), $1.62 million in FY2023 (+76.0%), $922,634 in FY2022 (-39.2%) and $1.52 million in FY2021 (-59.9%).
- The five-year range for quarterly Total Liabilities is $682,862 (Q2 2023) to $2.7 million (Q1 2025).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with growth averaging 30.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 180.9%), and the weakest in Q1 2026 (a decline of 61.1%).
- Business Quant data shows DRMA's Total Liabilities at $1.64 million (Q4 2025), $1.11 million (Q3 2025) and $1.03 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Dermata Therapeutics | 4.59 Mn | 4.59 Mn | - | 1.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.05 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.11 Mn |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 1.95 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 916,817.00 |
| Jun 30, 2023 | 682,862.00 |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 922,634.00 |
| Sep 30, 2022 | 1.50 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 1.20 Mn |
| Jun 30, 2021 | 1.64 Mn |
API Access
Dermata Therapeutics Total Liabilities 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=total-liabilities&ticker=DRMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DRMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();