Estrella Immunopharma (ESLA) Change in Accured Expenses (2022 - 2026)
Estrella Immunopharma (ESLA) reported Change in Accured Expenses of $4.14 million for Q2 2026.
Estrella Immunopharma (ESLA) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Estrella Immunopharma's Change in Accured Expenses came in at -$8.82 million; for FY2025, it came in at $9.61 million, up 245.2% from FY2024.
- Change in Accured Expenses has a three-year compound annual growth rate of 208.8% (FY2022 to FY2025).
- By year, Change in Accured Expenses came in at $2.78 million in FY2024, $122,594 in FY2023 and $326,166 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Estrella Immunopharma | 20.44 Mn | 15.36 Mn | - | 4.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.14 Mn |
| Mar 31, 2026 | -4.13 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 3.28 Mn |
| Sep 30, 2024 | 2.75 Mn |
| Mar 31, 2024 | -181,166.00 |
| Dec 31, 2023 | -705,968.00 |
| Sep 30, 2023 | 394,766.00 |
| Mar 31, 2023 | 45,835.00 |
| Dec 31, 2022 | 122,670.00 |
| Sep 30, 2022 | 66,050.00 |
| Jun 30, 2022 | 100,447.00 |
| Mar 31, 2022 | 3,000.00 |
Estrella Immunopharma Change in Accured 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=change-in-accured-expenses&ticker=ESLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ESLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();