Immunome (IMNM) Operating Margin (2020 - 2025)
Immunome's Operating Margin was -3228.83% in FY2025, up 153.54 percentage points from -3382.37% in FY2024.
Analysis
Immunome (IMNM) Operating Margin (2020 - 2025) Analysis & Trends
- Per Business Quant data, Operating Margin in earlier years was -3382.37% in FY2024 (-2601.02 pp) and -781.35% in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.50 Bn | 1,103.09 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 500.82 Bn | 473.93 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 367.31 Bn | 321.69 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 297.77 Bn | 261.76 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.35 Bn | 235.04 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 235.40 Bn | 190.80 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 190.59 Bn | 164.79 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 169.39 Bn | 116.04 Bn | 10.94 Bn | 28.37% |
| 10 | Immunome | 2.05 Bn | 18.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1,157.61% |
| Mar 31, 2025 | -1,525.50% |
| Dec 31, 2024 | -3,030.31% |
| Sep 30, 2024 | -1,736.15% |
| Jun 30, 2024 | -1,692.43% |
| Mar 31, 2024 | -12,857.05% |
| Dec 31, 2023 | -2,473.94% |
| Sep 30, 2023 | -129.96% |
| Jun 30, 2023 | -135.42% |
| Mar 31, 2023 | -189.13% |
| Dec 31, 2022 | -778,700.00% |
| Sep 30, 2022 | -853,400.00% |
| Jun 30, 2022 | -446,300.00% |
| Mar 31, 2022 | -1,165,400.00% |
| Jun 30, 2020 | -54,300.00% |
API Access
Immunome Operating 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=operating-margin&ticker=IMNM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=IMNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();