Abeona Therapeutics (ABEO) Change in Accured Expenses (2011 - 2026)
Abeona Therapeutics (ABEO) reported Change in Accured Expenses of $978,000 for Q2 2026, down 73.4% from $3.68 million a year earlier.
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Analysis
Abeona Therapeutics (ABEO) Change in Accured Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Abeona Therapeutics' Change in Accured Expenses came in at -$1.1 million; for FY2025, it was $6.54 million, up 334.0% from FY2024.
- Change in Accured Expenses has a four-year compound annual growth rate of 67.8% (FY2021 to FY2025).
- By year, Change in Accured Expenses came in at $1.51 million in FY2024 (-26.2%), $2.04 million in FY2023, -$4.11 million in FY2022 and $825,000 in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$7.32 million in Q1 2026 and a high of $5.28 million in Q4 2021.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 60.7%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2023 (growth of 215.1%); the low point was Q4 2022 (a decline of 80.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$7.32 million (Q1 2026), $4.24 million (Q4 2025) and $1 million (Q3 2025).
Peer Set
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 | Abeona Therapeutics | 287.85 Mn | -426.11 Mn | 7.20 Mn | 978,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 978,000.00 |
| Mar 31, 2026 | -7.32 Mn |
| Dec 31, 2025 | 4.24 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 3.68 Mn |
| Mar 31, 2025 | -2.38 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | -79,000.00 |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | -1.69 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | -1.07 Mn |
| Jun 30, 2023 | 2.21 Mn |
| Mar 31, 2023 | -376,000.00 |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | -1.44 Mn |
| Jun 30, 2022 | 702,000.00 |
| Mar 31, 2022 | -4.39 Mn |
| Dec 31, 2021 | 5.28 Mn |
| Sep 30, 2021 | 518,000.00 |
API Access
Abeona Therapeutics 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=ABEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ABEO", "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=ABEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();