EyePoint (EYPT) Accumulated Expenses (2011 - 2026)
EyePoint (EYPT) recorded Accumulated Expenses of $22 million in Q2 2026, up 91.6% from $11.48 million a year earlier and up 33.8% from the prior quarter.
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Analysis
EyePoint (EYPT) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, EyePoint reported Accumulated Expenses of $24.39 million, up 34.8% from FY2024.
- Annual Accumulated Expenses has increased for seven straight years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $18.1 million in FY2024 (+3.3%), $17.52 million in FY2023 (+7.1%), $16.36 million in FY2022 (+13.4%) and $14.42 million in FY2021 (+70.8%).
- Quarterly Accumulated Expenses has ranged from $10.49 million in Q1 2023 to $24.39 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 19.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 108.4% in Q1 2022, against a decline of 16.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.44 million (Q1 2026), $24.39 million (Q4 2025) and $17.94 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 | EyePoint | 277.89 Mn | -635.23 Mn | 507,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.00 Mn |
| Mar 31, 2026 | 16.44 Mn |
| Dec 31, 2025 | 24.39 Mn |
| Sep 30, 2025 | 17.94 Mn |
| Jun 30, 2025 | 11.48 Mn |
| Mar 31, 2025 | 18.18 Mn |
| Dec 31, 2024 | 18.10 Mn |
| Sep 30, 2024 | 14.17 Mn |
| Jun 30, 2024 | 13.34 Mn |
| Mar 31, 2024 | 15.94 Mn |
| Dec 31, 2023 | 17.52 Mn |
| Sep 30, 2023 | 13.42 Mn |
| Jun 30, 2023 | 15.15 Mn |
| Mar 31, 2023 | 10.49 Mn |
| Dec 31, 2022 | 16.36 Mn |
| Sep 30, 2022 | 16.00 Mn |
| Jun 30, 2022 | 14.31 Mn |
| Mar 31, 2022 | 12.33 Mn |
| Dec 31, 2021 | 14.42 Mn |
| Sep 30, 2021 | 11.46 Mn |
API Access
EyePoint 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=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();