Molecular Partners Ag (MOLN) Total Current Liabilities (2020 - 2026)
Molecular Partners Ag (MOLN) posted Total Current Liabilities of $12.42 million for Q2 2026, down 20.2% from $15.58 million a year earlier but up 10.6% from the prior quarter.
Molecular Partners Ag (MOLN) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Molecular Partners Ag's Total Current Liabilities came in at $13.3 million, up 8.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -26.4% (FY2020 to FY2025).
- In prior years, Molecular Partners Ag's Total Current Liabilities was $12.26 million in FY2024 (-23.6%), $16.05 million in FY2023 (-11.2%), $18.08 million in FY2022 (-64.7%) and $51.29 million in FY2021 (-16.6%).
- Quarterly Total Current Liabilities has run from a low of $9.97 million in Q1 2025 to a high of $50.83 million in Q4 2021 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with an average decline of 3.7%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 24.0%; the weakest was Q4 2022, with a decline of 64.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $11.24 million (Q1 2026), $13.8 million (Q4 2025) and $14.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.41 Bn | 1,108.99 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 618.57 Bn | 537.10 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 509.95 Bn | 483.06 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.63 Bn | 321.01 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.47 Bn | 262.46 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 263.21 Bn | 236.89 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.71 Bn | 192.11 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 193.05 Bn | 167.25 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.45 Bn | 118.10 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Molecular Partners Ag | 139.77 Mn | -291.47 Mn | - | 12.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.16 Mn |
| Mar 31, 2026 | 11.00 Mn |
| Dec 31, 2025 | 13.93 Mn |
| Sep 30, 2025 | 14.73 Mn |
| Jun 30, 2025 | 16.16 Mn |
| Mar 31, 2025 | 10.18 Mn |
| Dec 31, 2024 | 11.94 Mn |
| Sep 30, 2024 | 12.42 Mn |
| Jun 30, 2024 | 12.64 Mn |
| Mar 31, 2024 | 13.63 Mn |
| Dec 31, 2023 | 17.09 Mn |
| Sep 30, 2023 | 15.89 Mn |
| Jun 30, 2023 | 17.43 Mn |
| Mar 31, 2023 | 16.84 Mn |
| Dec 31, 2022 | 18.69 Mn |
| Sep 30, 2022 | 19.54 Mn |
| Jun 30, 2022 | 24.43 Mn |
| Mar 31, 2022 | 32.97 Mn |
| Dec 31, 2021 | 51.29 Mn |
| Sep 30, 2021 | 42.48 Mn |
Molecular Partners Ag Total 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-current-liabilities&ticker=MOLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();