Estrella Immunopharma (ESLA) Accumulated Expenses (2023 - 2026)
Estrella Immunopharma (ESLA) posted Accumulated Expenses of $16.6 million for Q2 2026, unchanged from the prior quarter.
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Analysis
Estrella Immunopharma (ESLA) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Estrella Immunopharma's Accumulated Expenses came in at $12.4 million, up 342.9% from FY2024.
- In prior years, Estrella Immunopharma's Accumulated Expenses was $2.8 million in FY2024 and $116,482 in FY2023.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $16.6 million (Q1 2026), $12.4 million (Q4 2025) and $12.9 million (Q3 2025).
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 | Estrella Immunopharma | 20.44 Mn | 15.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.60 Mn |
| Mar 31, 2026 | 16.60 Mn |
| Dec 31, 2025 | 12.40 Mn |
| Sep 30, 2025 | 12.90 Mn |
| Jun 30, 2025 | 8.80 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.75 Mn |
| Jun 30, 2024 | 4,000.00 |
| Mar 31, 2024 | 166,941.00 |
| Dec 31, 2023 | 6,000.00 |
| Sep 30, 2023 | 8,000.00 |
| Jun 30, 2023 | 116,482.00 |
API Access
Estrella Immunopharma 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=ESLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ESLA", "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=ESLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();