Immunome (IMNM) Net Margin (2020 - 2025)
Immunome (IMNM) recorded Net Margin of -3059.99% in FY2025, up 180.39 percentage points from -3240.38% in FY2024.
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Analysis
Immunome (IMNM) Net Margin (2020 - 2025) Analysis & Trends
- Per Business Quant data, IMNM's Net Margin was -3240.38% in FY2024 (-2478.46 pp) and -761.92% in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.24 Bn | 1,102.83 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 616.05 Bn | 534.58 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 500.90 Bn | 474.01 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 367.17 Bn | 321.54 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 235.77 Bn | 191.17 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 190.70 Bn | 164.90 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | -1.65% |
| 10 | Immunome | 2.05 Bn | 23.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1,080.87% |
| Mar 31, 2025 | -1,423.10% |
| Dec 31, 2024 | -2,930.93% |
| Sep 30, 2024 | -1,618.56% |
| Jun 30, 2024 | -1,528.00% |
| Mar 31, 2024 | -12,584.26% |
| Dec 31, 2023 | -2,421.17% |
| Sep 30, 2023 | -121.88% |
| Jun 30, 2023 | -130.35% |
| Mar 31, 2023 | -180.63% |
| Dec 31, 2022 | -778,600.00% |
| Sep 30, 2022 | -915,500.00% |
| Jun 30, 2022 | -446,200.00% |
| Mar 31, 2022 | -1,170,000.00% |
| Jun 30, 2020 | -54,200.00% |
API Access
Immunome 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=IMNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "IMNM", "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=IMNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();