Alumis (ALMS) Accumulated Expenses (2023 - 2026)
Alumis' Accumulated Expenses was $35.57 million in Q2 2026, down 18.7% from $43.73 million a year earlier.
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Analysis
Alumis (ALMS) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Alumis came in at $34.78 million, up 19.3% from FY2024.
- In earlier years, Accumulated Expenses was $29.15 million in FY2024 (+166.3%) and $10.95 million in FY2023.
- Quarterly Accumulated Expenses has moved between $10.95 million (Q4 2023) and $43.73 million (Q2 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last five quarters, with growth averaging 94.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Alumis | 919.65 Mn | -755.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.57 Mn |
| Dec 31, 2025 | 34.78 Mn |
| Sep 30, 2025 | 37.63 Mn |
| Jun 30, 2025 | 43.73 Mn |
| Mar 31, 2025 | 34.70 Mn |
| Dec 31, 2024 | 29.15 Mn |
| Sep 30, 2024 | 18.14 Mn |
| Jun 30, 2024 | 14.58 Mn |
| Dec 31, 2023 | 10.95 Mn |
API Access
Alumis Accumulated 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=accumulated-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();