Molecular Partners Ag (MOLN) Total Non-Current Liabilities (2020 - 2026)
Molecular Partners Ag (MOLN) recorded Total Non-Current Liabilities of $9.28 million in Q2 2026, up 63.7% from $5.67 million a year earlier but down 30.2% from the prior quarter.
Molecular Partners Ag (MOLN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Molecular Partners Ag reported Total Non-Current Liabilities of $12.96 million, up 86.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.94 million in FY2024 (-17.0%), $8.36 million in FY2023 (-19.0%), $10.32 million in FY2022 (-49.1%) and $20.26 million in FY2021 (-16.1%).
- Quarterly Total Non-Current Liabilities has ranged from $4.08 million in Q2 2024 to $20.08 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 42.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 203.3% in Q1 2026, against a decline of 58.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.29 million (Q1 2026), $13.45 million (Q4 2025) and $6.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Molecular Partners Ag | 138.65 Mn | -292.59 Mn | - | 9.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.08 Mn |
| Mar 31, 2026 | 13.01 Mn |
| Dec 31, 2025 | 13.57 Mn |
| Sep 30, 2025 | 6.12 Mn |
| Jun 30, 2025 | 5.88 Mn |
| Mar 31, 2025 | 4.47 Mn |
| Dec 31, 2024 | 6.76 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 5.31 Mn |
| Dec 31, 2023 | 8.90 Mn |
| Sep 30, 2023 | 8.06 Mn |
| Jun 30, 2023 | 9.84 Mn |
| Mar 31, 2023 | 7.66 Mn |
| Dec 31, 2022 | 10.66 Mn |
| Sep 30, 2022 | 10.96 Mn |
| Jun 30, 2022 | 10.59 Mn |
| Mar 31, 2022 | 18.32 Mn |
| Dec 31, 2021 | 20.26 Mn |
| Sep 30, 2021 | 13.12 Mn |
Molecular Partners Ag 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=MOLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();