Pelthos Therapeutics (PTHS) Accumulated Expenses (2022 - 2026)
Pelthos Therapeutics' Accumulated Expenses was $20.75 million in Q2 2026, compared with $23,636 a year earlier and up 61.6% from the prior quarter.
Analysis
Pelthos Therapeutics (PTHS) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Pelthos Therapeutics came in at $15.36 million.
- Accumulated Expenses shows a three-year compound annual growth rate of 310.6% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $645,947 in FY2023 (+191.1%) and $221,875 in FY2022.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2022.
- Per Business Quant data, PTHS's Accumulated Expenses in the three quarters before Q2 2026 was $12.84 million (Q1 2026), $15.36 million (Q4 2025) and $11.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Pelthos Therapeutics | 79.95 Mn | -8.44 Mn | 11.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.75 Mn |
| Mar 31, 2026 | 12.84 Mn |
| Dec 31, 2025 | 15.36 Mn |
| Sep 30, 2025 | 11.89 Mn |
| Jun 30, 2025 | 23,636.00 |
| Sep 30, 2024 | 308.00 |
| Jun 30, 2024 | 363,429.00 |
| Mar 31, 2024 | 493,924.00 |
| Dec 31, 2023 | 645,947.00 |
| Dec 31, 2022 | 221,875.00 |
API Access
Pelthos 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=PTHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PTHS", "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=PTHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();