Pelthos Therapeutics (PTHS) Total Non-Current Liabilities (2024 - 2026)
Pelthos Therapeutics (PTHS) reported Total Non-Current Liabilities of $105.52 million for Q2 2026, up 12.1% from the prior quarter.
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Analysis
Pelthos Therapeutics (PTHS) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Pelthos Therapeutics posted Total Non-Current Liabilities of $61.47 million.
- By year, Total Non-Current Liabilities came in at $4.08 million in FY2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $94.16 million (Q1 2026), $61.47 million (Q4 2025) and $42.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Pelthos Therapeutics | 32.83 Mn | -55.57 Mn | 11.99 Mn | 105.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.52 Mn |
| Mar 31, 2026 | 94.16 Mn |
| Dec 31, 2025 | 61.47 Mn |
| Sep 30, 2025 | 42.01 Mn |
| Dec 31, 2024 | 4.08 Mn |
API Access
Pelthos Therapeutics Total Non-Current 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-non-current-liabilities&ticker=PTHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PTHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();