MoonLake Immunotherapeutics (MLTX) Cash & Equivalents (2020 - 2026)
MoonLake Immunotherapeutics' Cash & Equivalents came in at $477.91 million for Q2 2026, up 55.8% from $306.68 million a year earlier and up 60.1% from the prior quarter.
MoonLake Immunotherapeutics (MLTX) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, MoonLake Immunotherapeutics' Cash & Equivalents was $334.52 million, up 85.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 201.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $180.43 million in FY2024 (-60.0%), $451.17 million in FY2023, $39.51 million in FY2022 (+391.4%) and $8.04 million in FY2021 (+501.7%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q2 2023.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2024 (growth of 814.5%), and the weakest in Q1 2022 (a decline of 98.0%).
- Business Quant data shows MLTX's Cash & Equivalents at $298.49 million (Q1 2026), $334.52 million (Q4 2025) and $350.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | MoonLake Immunotherapeutics | 976.17 Mn | -693.22 Mn | - | 477.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 477.91 Mn |
| Mar 31, 2026 | 298.49 Mn |
| Dec 31, 2025 | 334.52 Mn |
| Sep 30, 2025 | 350.74 Mn |
| Jun 30, 2025 | 306.68 Mn |
| Mar 31, 2025 | 271.57 Mn |
| Dec 31, 2024 | 180.43 Mn |
| Sep 30, 2024 | 375.66 Mn |
| Jun 30, 2024 | 342.79 Mn |
| Mar 31, 2024 | 458.44 Mn |
| Dec 31, 2023 | 451.17 Mn |
| Sep 30, 2023 | 318.17 Mn |
| Jun 30, 2023 | 501.79 Mn |
| Mar 31, 2023 | 50.13 Mn |
| Dec 31, 2022 | 39.51 Mn |
| Sep 30, 2022 | 41.20 Mn |
| Mar 31, 2022 | 23,336.00 |
| Dec 31, 2021 | 8.04 Mn |
| Sep 30, 2021 | 1.03 Mn |
| Jun 30, 2021 | 1.10 Mn |
MoonLake Immunotherapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=MLTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MLTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();