Alumis (ALMS) EBITDA (2023 - 2026)
Alumis (ALMS) recorded EBITDA of -$95.58 million in Q4 2025, compared with -$97.8 million a year earlier.
Powered by 
Analysis
Alumis (ALMS) EBITDA (2023 - 2026) Analysis & Trends
For FY2025, Alumis reported EBITDA of -$450.31 million.
- Across earlier years, EBITDA came in at -$297.6 million in FY2024 and -$156.89 million in FY2023.
- The Q4 2025 figure is the highest quarterly EBITDA since Q2 2024.
- Per Business Quant, the preceding three quarters came in at -$114.38 million (Q3 2025), -$139.67 million (Q2 2025) and -$100.69 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 13.33 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.37 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Alumis | 830.27 Mn | -881.19 Mn | - | -147.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -147.98 Mn |
| Mar 31, 2026 | -97.54 Mn |
| Dec 31, 2025 | -95.58 Mn |
| Sep 30, 2025 | -114.38 Mn |
| Jun 30, 2025 | -139.67 Mn |
| Mar 31, 2025 | -100.69 Mn |
| Dec 31, 2024 | -97.80 Mn |
| Sep 30, 2024 | -97.59 Mn |
| Jun 30, 2024 | -55.38 Mn |
| Mar 31, 2024 | -46.84 Mn |
| Dec 31, 2023 | -39.41 Mn |
| Sep 30, 2023 | -43.44 Mn |
API Access
Alumis EBITDA 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=ebitda&ticker=ALMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();