Hemab Therapeutics Holdings (COAG) Total Liabilities (2024 - 2026)
Hemab Therapeutics Holdings (COAG) posted Total Liabilities of $13.44 million for Q3 2026, down 0.5% from the prior quarter.
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Analysis
Hemab Therapeutics Holdings (COAG) Total Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Hemab Therapeutics Holdings' Total Liabilities came in at $371.42 million, up 75.6% from FY2024.
- In prior years, Hemab Therapeutics Holdings' Total Liabilities was $211.55 million in FY2024.
- According to Business Quant data, Total Liabilities for the three prior quarters was $13.51 million (Q2 2026), $373.88 million (Q1 2026) and $371.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Hemab Therapeutics Holdings | 1.91 Bn | 672.70 Mn | - | 13.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.44 Mn |
| Jun 30, 2026 | 13.51 Mn |
| Mar 31, 2026 | 373.88 Mn |
| Dec 31, 2025 | 371.42 Mn |
| Dec 31, 2024 | 211.55 Mn |
API Access
Hemab Therapeutics Holdings Total 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-liabilities&ticker=COAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "COAG", "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-liabilities&ticker=COAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();