Molecular Partners Ag (MOLN) Cash & Equivalents (2020 - 2026)
Molecular Partners Ag (MOLN) recorded Cash & Equivalents of $85.95 million in Q2 2026, down 13.2% from $99.02 million a year earlier but up 4.8% from the prior quarter.
Molecular Partners Ag (MOLN) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Molecular Partners Ag reported Cash & Equivalents of $99.69 million, up 37.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $72.61 million in FY2024 (-3.1%), $74.94 million in FY2023 (-18.7%), $92.19 million in FY2022 (+17.3%) and $78.59 million in FY2021 (-44.9%).
- Quarterly Cash & Equivalents has ranged from $70.34 million in Q2 2023 to $153.78 million in Q1 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 13.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 41.8% in Q4 2025, against a decline of 48.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $82.05 million (Q1 2026), $103.41 million (Q4 2025) and $102.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Molecular Partners Ag | 138.65 Mn | -292.59 Mn | - | 84.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.11 Mn |
| Mar 31, 2026 | 80.33 Mn |
| Dec 31, 2025 | 104.40 Mn |
| Sep 30, 2025 | 103.31 Mn |
| Jun 30, 2025 | 102.69 Mn |
| Mar 31, 2025 | 92.38 Mn |
| Dec 31, 2024 | 70.72 Mn |
| Sep 30, 2024 | 78.23 Mn |
| Jun 30, 2024 | 71.30 Mn |
| Mar 31, 2024 | 75.85 Mn |
| Dec 31, 2023 | 79.81 Mn |
| Sep 30, 2023 | 74.77 Mn |
| Jun 30, 2023 | 70.34 Mn |
| Mar 31, 2023 | 80.94 Mn |
| Dec 31, 2022 | 95.30 Mn |
| Sep 30, 2022 | 71.50 Mn |
| Jun 30, 2022 | 120.46 Mn |
| Mar 31, 2022 | 153.87 Mn |
| Dec 31, 2021 | 78.60 Mn |
| Sep 30, 2021 | 88.74 Mn |
Molecular Partners Ag 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=MOLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "MOLN", "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=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();