Hemab Therapeutics Holdings (COAG) Accumulated Expenses (2024 - 2026)
Hemab Therapeutics Holdings (COAG) recorded Accumulated Expenses of $6.53 million in Q3 2026, up 4.4% from the prior quarter.
Powered by 
Analysis
Hemab Therapeutics Holdings (COAG) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Hemab Therapeutics Holdings reported Accumulated Expenses of $4.3 million, up 50.3% from FY2024.
- Across earlier years, Accumulated Expenses came in at $2.86 million in FY2024.
- Quarterly Accumulated Expenses has ranged from $2.86 million in Q4 2024 to $6.96 million in Q1 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $6.25 million (Q2 2026), $6.96 million (Q1 2026) and $4.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn |
| 10 | Hemab Therapeutics Holdings | 1.91 Bn | 672.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.53 Mn |
| Jun 30, 2026 | 6.25 Mn |
| Mar 31, 2026 | 6.96 Mn |
| Dec 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 2.86 Mn |
API Access
Hemab Therapeutics Holdings 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=COAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=COAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();