Alumis (ALMS) Total Current Liabilities (2023 - 2026)
Alumis (ALMS) recorded Total Current Liabilities of $76.23 million in Q2 2026, down 10.9% from $85.58 million a year earlier.
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Analysis
Alumis (ALMS) Total Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Alumis reported Total Current Liabilities of $73.32 million, up 44.0% from FY2024.
- Across earlier years, Total Current Liabilities came in at $50.91 million in FY2024 (+143.9%) and $20.87 million in FY2023.
- Quarterly Total Current Liabilities has ranged from $20.87 million in Q4 2023 to $85.58 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in four of the last five quarters, with growth averaging 85.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.68 Bn | 1,105.26 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 617.43 Bn | 535.95 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 501.53 Bn | 474.64 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 368.15 Bn | 322.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.54 Bn | 261.53 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 260.75 Bn | 234.43 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.10 Bn | 165.30 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Alumis | 857.50 Mn | -817.34 Mn | - | 76.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.23 Mn |
| Dec 31, 2025 | 73.32 Mn |
| Sep 30, 2025 | 65.42 Mn |
| Jun 30, 2025 | 85.58 Mn |
| Mar 31, 2025 | 60.45 Mn |
| Dec 31, 2024 | 50.91 Mn |
| Sep 30, 2024 | 33.52 Mn |
| Jun 30, 2024 | 33.41 Mn |
| Dec 31, 2023 | 20.87 Mn |
API Access
Alumis Total Current Liabilities 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=total-current-liabilities&ticker=ALMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ALMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();