Alumis (ALMS) Cash from Operations (2023 - 2025)
Alumis' (ALMS) quarterly Cash from Operations came in at -$71.9 million in Q4 2025, up 3.85% year-over-year from -$69.2 million in Q4 2024, and up 35.17% quarter-over-quarter from -$110.9 million in Q3 2025.
Alumis (ALMS) Cash from Operations (2023 - 2025) Analysis & Trends
Alumis (ALMS) has reported Cash from Operations for 3 consecutive years, with -$71.9 million the latest figure, recorded in Q4 2025.
- On a quarterly basis, Cash from Operations rose 3.85% year-over-year to -$71.9 million in Q4 2025; TTM through Dec 2025 was -$369.5 million, a 44.85% decrease from a year earlier, with the FY2025 full-year figure at -$369.5 million, down 44.85% from the prior year.
- Cash from Operations was -$71.9 million for Q4 2025 at Alumis, up from -$110.9 million in the prior quarter.
- Over five years, Cash from Operations peaked at -$33.2 million in Q3 2023 and troughed at -$110.9 million in Q3 2025.
- A 3-year average of -$69.2 million and a median of -$73.3 million in 2024 frame the typical range for Cash from Operations.
- Across the five-year window, Cash from Operations plunged 151.96% in 2024 and grew 3.85% in 2025, its largest moves.
- Over 3 years, Cash from Operations stood at -$33.8 million in 2023, then slumped by 121.58% to -$74.8 million in 2024, then climbed by 3.85% to -$71.9 million in 2025.
- The last three Cash from Operations figures came in at -$71.9 million (Q4 2025), -$110.9 million (Q3 2025), and -$106.3 million (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Operations (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 208.48 Bn | 194.49 Bn | 7.24 Bn | 4.00 Bn |
| 2 | Gilead Sciences | 186.29 Bn | 183.02 Bn | 6.22 Bn | 3.57 Bn |
| 3 | Vertex Pharmaceuticals | 128.79 Bn | 120.93 Bn | 2.84 Bn | 1.13 Bn |
| 4 | Regeneron Pharmaceuticals | 80.66 Bn | 72.67 Bn | 3.93 Bn | 813.00 Mn |
| 5 | Moderna | 61.46 Bn | 56.32 Bn | 52.00 Mn | -526.00 Mn |
| 6 | Argenx Se | 61.28 Bn | 56.10 Bn | 1.37 Bn | - |
| 7 | Alnylam Pharmaceuticals | 32.04 Bn | 28.73 Bn | 992.69 Mn | 326.72 Mn |
| 8 | Biogen | 31.84 Bn | 30.56 Bn | 1.96 Bn | 448.90 Mn |
| 9 | Roivant Sciences | 28.74 Bn | 29.43 Bn | 1.16 Mn | -270.50 Mn |
| 10 | Alumis | 966.94 Mn | 464.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -71.91 Mn |
| Sep 30, 2025 | -110.91 Mn |
| Jun 30, 2025 | -106.31 Mn |
| Mar 31, 2025 | -80.40 Mn |
| Dec 31, 2024 | -74.79 Mn |
| Sep 30, 2024 | -83.77 Mn |
| Jun 30, 2024 | -52.25 Mn |
| Mar 31, 2024 | -44.30 Mn |
| Dec 31, 2023 | -33.75 Mn |
| Sep 30, 2023 | -33.25 Mn |
Alumis Cash from Operations 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=cash-from-operations&ticker=ALMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();