Molecular Partners Ag (MOLN) Research & Development (2022 - 2026)
Molecular Partners Ag (MOLN) posted Research & Development of $10.19 million for Q3 2026, down 2.1% from $10.41 million a year earlier and down 16.2% from the prior quarter.
Molecular Partners Ag (MOLN) Research & Development (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Research & Development at Molecular Partners Ag was $45.97 million, down 5.5% year-over-year; for FY2025, it was $48.48 million, down 12.3% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior years, Molecular Partners Ag's Research & Development was $55.25 million in FY2024 (+1.7%), $54.32 million in FY2023 (+2.1%), $53.2 million in FY2022 (-12.8%) and $60.97 million in FY2021 (+2.0%).
- The Q3 2026 figure stands as the lowest quarterly Research & Development in data going back to Q3 2020.
- On a year-over-year basis, Research & Development has declined in each of the last nine quarters, with an average decline of 10.4% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2024, with growth of 17.7%; the weakest was Q4 2021, with a decline of 32.8%.
- According to Business Quant data, Research & Development for the three prior quarters was $12.16 million (Q2 2026), $12.06 million (Q1 2026) and $11.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Molecular Partners Ag | 125.16 Mn | -243.89 Mn | - | 10.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.19 Mn |
| Jun 30, 2026 | 12.16 Mn |
| Mar 31, 2026 | 12.06 Mn |
| Dec 31, 2025 | 11.56 Mn |
| Sep 30, 2025 | 10.41 Mn |
| Jun 30, 2025 | 12.93 Mn |
| Mar 31, 2025 | 13.26 Mn |
| Dec 31, 2024 | 12.04 Mn |
| Sep 30, 2024 | 12.54 Mn |
| Jun 30, 2024 | 14.47 Mn |
| Mar 31, 2024 | 16.16 Mn |
| Dec 31, 2023 | 14.49 Mn |
| Sep 30, 2023 | 13.14 Mn |
| Jun 30, 2023 | 12.94 Mn |
| Mar 31, 2023 | 13.73 Mn |
| Dec 31, 2022 | 12.67 Mn |
| Sep 30, 2022 | 11.90 Mn |
| Jun 30, 2022 | 13.05 Mn |
| Mar 31, 2022 | 15.67 Mn |
Molecular Partners Ag Research & Development 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=research-and-development&ticker=MOLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();