MoonLake Immunotherapeutics (MLTX) Total Non-Current Liabilities (2020 - 2026)
MoonLake Immunotherapeutics' Total Non-Current Liabilities came in at $100.36 million for Q2 2026, up 34.2% from $74.79 million a year earlier and up 0.1% from the prior quarter.
MoonLake Immunotherapeutics (MLTX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, MoonLake Immunotherapeutics' Total Non-Current Liabilities was $74.47 million.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.08 million in FY2024 (-32.6%), $3.08 million in FY2023 (+649.9%), $411,157 in FY2022 (+71.4%) and $239,860 in FY2021 (-99.8%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2022.
- Year-over-year, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 228.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 879.8%), and the weakest in Q3 2022 (a decline of 100.0%).
- Business Quant data shows MLTX's Total Non-Current Liabilities at $100.24 million (Q1 2026), $74.47 million (Q4 2025) and $74.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | MoonLake Immunotherapeutics | 974.47 Mn | -694.93 Mn | - | 100.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.36 Mn |
| Mar 31, 2026 | 100.24 Mn |
| Dec 31, 2025 | 74.47 Mn |
| Sep 30, 2025 | 74.78 Mn |
| Jun 30, 2025 | 74.79 Mn |
| Mar 31, 2025 | 74.70 Mn |
| Dec 31, 2024 | 2.08 Mn |
| Sep 30, 2024 | 2.63 Mn |
| Jun 30, 2024 | 2.56 Mn |
| Mar 31, 2024 | 2.82 Mn |
| Dec 31, 2023 | 3.08 Mn |
| Sep 30, 2023 | 268,483.00 |
| Jun 30, 2023 | 376,614.00 |
| Mar 31, 2023 | 405,255.00 |
| Dec 31, 2022 | 411,157.00 |
| Sep 30, 2022 | 4,985.00 |
| Jun 30, 2022 | 18,588.00 |
| Mar 31, 2022 | 252.45 Mn |
| Dec 31, 2021 | 239,860.00 |
| Sep 30, 2021 | 115.33 Mn |
MoonLake Immunotherapeutics 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=MLTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MLTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();