EyePoint (EYPT) Change in Accured Expenses (2010 - 2026)
EyePoint (EYPT) posted Change in Accured Expenses of $3.99 million for Q2 2026, compared with -$3.47 million a year earlier and up 598.4% from the prior quarter.
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Analysis
EyePoint (EYPT) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at EyePoint was $7.73 million, up 114.8% year-over-year; for FY2025, it was $4.68 million, down 18.4% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In prior years, EyePoint's Change in Accured Expenses was $5.73 million in FY2024 (+277.3%), $1.52 million in FY2023 (+26.8%), $1.2 million in FY2022 (-85.9%) and $8.48 million in FY2021 (+352.8%).
- Quarterly Change in Accured Expenses has run from a low of -$6.04 million in Q3 2024 to a high of $8.13 million in Q4 2024 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2023, with growth of 194.8%; the weakest was Q1 2026, with a decline of 88.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $571,000 (Q1 2026), $6.23 million (Q4 2025) and -$3.06 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 | EyePoint | 276.19 Mn | -636.93 Mn | 507,000.00 | 3.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Mn |
| Mar 31, 2026 | 571,000.00 |
| Dec 31, 2025 | 6.23 Mn |
| Sep 30, 2025 | -3.06 Mn |
| Jun 30, 2025 | -3.47 Mn |
| Mar 31, 2025 | 4.97 Mn |
| Dec 31, 2024 | 8.13 Mn |
| Sep 30, 2024 | -6.04 Mn |
| Jun 30, 2024 | 5.07 Mn |
| Mar 31, 2024 | -1.43 Mn |
| Dec 31, 2023 | 728,000.00 |
| Sep 30, 2023 | -2.89 Mn |
| Jun 30, 2023 | 5.95 Mn |
| Mar 31, 2023 | -2.27 Mn |
| Dec 31, 2022 | -483,000.00 |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 2.02 Mn |
| Mar 31, 2022 | -2.11 Mn |
| Dec 31, 2021 | 3.45 Mn |
| Sep 30, 2021 | 3.68 Mn |
API Access
EyePoint 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=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "EYPT", "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=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();