Alumis (ALMS) EBIT (2023 - 2026)
Alumis' (ALMS) quarterly EBIT came in at -$148.9 million in Q2 2026, down 5.92% year-over-year from -$158.2 million in Q2 2025, and down 54.34% quarter-over-quarter from -$96.4 million in Q4 2025.
Alumis (ALMS) EBIT (2023 - 2026) Analysis & Trends
Alumis (ALMS) has reported EBIT for 4 consecutive years, with -$148.9 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBIT fell 5.92% year-over-year to -$148.9 million in Q2 2026; TTM through Jun 2026 was -$501.1 million, a 14.13% decrease from a year earlier, with the FY2025 full-year figure at -$453.8 million, down 50.89% from the prior year.
- EBIT was -$148.9 million for Q2 2026 at Alumis, down from -$96.4 million in the prior quarter.
- Over five years, EBIT peaked at -$37.6 million in Q2 2023 and troughed at -$148.9 million in Q2 2026.
- A 4-year average of -$85.4 million and a median of -$97.4 million in 2024 frame the typical range for EBIT.
- The widest YoY moves for EBIT: up 2.21% in 2025, down 150.34% in 2025.
- Over 4 years, EBIT stood at -$40.1 million in 2023, then sank by 145.74% to -$98.6 million in 2024, then increased by 2.21% to -$96.4 million in 2025, then plunged by 54.34% to -$148.9 million in 2026.
- The last three EBIT figures came in at -$148.9 million (Q2 2026), -$96.4 million (Q4 2025), and -$115.3 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 208.48 Bn | 194.49 Bn | 7.24 Bn | 3.51 Bn |
| 2 | Gilead Sciences | 186.29 Bn | 183.02 Bn | 6.22 Bn | -10.39 Bn |
| 3 | Vertex Pharmaceuticals | 128.79 Bn | 120.93 Bn | 2.84 Bn | 1.25 Bn |
| 4 | Regeneron Pharmaceuticals | 80.66 Bn | 72.67 Bn | 3.93 Bn | 1.29 Bn |
| 5 | Moderna | 61.46 Bn | 56.32 Bn | 52.00 Mn | -815.00 Mn |
| 6 | Argenx Se | 61.28 Bn | 56.10 Bn | 1.37 Bn | 493.00 Mn |
| 7 | Alnylam Pharmaceuticals | 32.04 Bn | 28.73 Bn | 992.69 Mn | 231.44 Mn |
| 8 | Biogen | 31.84 Bn | 30.56 Bn | 1.96 Bn | -644.50 Mn |
| 9 | Roivant Sciences | 28.74 Bn | 29.43 Bn | 1.16 Mn | -365.99 Mn |
| 10 | Alumis | 966.94 Mn | 464.65 Mn | - | -148.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -148.86 Mn |
| Dec 31, 2025 | -96.45 Mn |
| Sep 30, 2025 | -115.29 Mn |
| Jun 30, 2025 | -140.54 Mn |
| Mar 31, 2025 | -101.53 Mn |
| Dec 31, 2024 | -98.62 Mn |
| Sep 30, 2024 | -98.40 Mn |
| Jun 30, 2024 | -56.14 Mn |
| Mar 31, 2024 | -47.59 Mn |
| Dec 31, 2023 | -40.13 Mn |
| Sep 30, 2023 | -43.76 Mn |
| Jun 30, 2023 | -37.62 Mn |
Alumis EBIT 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=ebit&ticker=ALMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "ALMS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();