Molecular Partners Ag (MOLN) Net Margin (2022 - 2024)
Molecular Partners Ag (MOLN) reported Net Margin of 2849.09% for FY2024, up 342.70 percentage points from 2506.39% in FY2023.
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Analysis
Molecular Partners Ag (MOLN) Net Margin (2022 - 2024) Analysis & Trends
Dating back to FY2019, Molecular Partners Ag's Net Margin record includes 6 years.
- Net Margin has a five-year change of +3027.13 percentage points (FY2019 to FY2024).
- The FY2024 figure ranks as the highest annual Net Margin in data going back to FY2019.
- According to Business Quant data, Net Margin came in at 2506.39% in FY2023 (+2382.34 pp), 124.05% in FY2022 (-976.01 pp), 1100.06% in FY2021 (-47.20 pp) and 1147.26% in FY2020 (+1325.29 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 20.69% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.55% |
| 10 | Molecular Partners Ag | 125.16 Mn | -243.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -2,621.73% |
| Jun 30, 2024 | -972.40% |
| Mar 31, 2024 | -413.62% |
| Dec 31, 2023 | -1,834.98% |
| Sep 30, 2023 | -450.18% |
| Jun 30, 2023 | -3,852.29% |
| Mar 31, 2023 | -484.52% |
| Dec 31, 2022 | -842.77% |
| Sep 30, 2022 | -630.12% |
| Jun 30, 2022 | -38.46% |
| Mar 31, 2022 | 90.07% |
API Access
Molecular Partners Ag Net Margin 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=net-margin&ticker=MOLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();