Alumis (ALMS) Change in Accured Expenses (2023 - 2025)
Alumis' Change in Accured Expenses came in at $3.48 million for Q4 2025, up 11.7% from $3.12 million a year earlier.
Analysis
Alumis (ALMS) Change in Accured Expenses (2023 - 2025) Analysis & Trends
For FY2025, Alumis' Change in Accured Expenses was $6.04 million, up 70.4% from FY2024.
- Going back by year, Change in Accured Expenses was $3.54 million in FY2024 (+42.2%) and $2.49 million in FY2023.
- The five-year range for quarterly Change in Accured Expenses is -$3.98 million (Q3 2025) to $4.99 million (Q1 2025).
- Business Quant data shows ALMS's Change in Accured Expenses at -$3.98 million (Q3 2025), $1.55 million (Q2 2025) and $4.99 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Alumis | 852.45 Mn | -822.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.48 Mn |
| Sep 30, 2025 | -3.98 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 4.99 Mn |
| Dec 31, 2024 | 3.12 Mn |
| Sep 30, 2024 | 2.34 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | -3.21 Mn |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 1.11 Mn |
API Access
Alumis Change in Accured Expenses 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=change-in-accured-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();