MoonLake Immunotherapeutics (MLTX) Total Liabilities (2020 - 2026)
MoonLake Immunotherapeutics' Total Liabilities was $145.75 million in Q2 2026, up 42.7% from $102.15 million a year earlier but down 0.4% from the prior quarter.
MoonLake Immunotherapeutics (MLTX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at MoonLake Immunotherapeutics came in at $119.95 million, up 388.8% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $24.54 million in FY2024 (+88.1%), $13.05 million in FY2023 (+61.6%), $8.08 million in FY2022 (-62.1%) and $21.33 million in FY2021 (-82.1%).
- Quarterly Total Liabilities has moved between $3.88 million (Q2 2022) and $256.48 million (Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities has increased for 13 straight quarters, with growth averaging 306.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 741.2%); the worst was Q1 2023 (a decline of 97.0%).
- Per Business Quant data, MLTX's Total Liabilities in the three quarters before Q2 2026 was $146.35 million (Q1 2026), $119.95 million (Q4 2025) and $123.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | MoonLake Immunotherapeutics | 983.83 Mn | -685.56 Mn | - | 145.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.75 Mn |
| Mar 31, 2026 | 146.35 Mn |
| Dec 31, 2025 | 119.95 Mn |
| Sep 30, 2025 | 123.14 Mn |
| Jun 30, 2025 | 102.15 Mn |
| Mar 31, 2025 | 98.68 Mn |
| Dec 31, 2024 | 24.54 Mn |
| Sep 30, 2024 | 22.71 Mn |
| Jun 30, 2024 | 14.85 Mn |
| Mar 31, 2024 | 11.73 Mn |
| Dec 31, 2023 | 13.05 Mn |
| Sep 30, 2023 | 10.58 Mn |
| Jun 30, 2023 | 7.51 Mn |
| Mar 31, 2023 | 7.68 Mn |
| Dec 31, 2022 | 8.08 Mn |
| Sep 30, 2022 | 6.02 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 256.48 Mn |
| Dec 31, 2021 | 21.33 Mn |
| Sep 30, 2021 | 119.35 Mn |
MoonLake Immunotherapeutics 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=MLTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MLTX", "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=MLTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();