EyePoint (EYPT) Operating Expenses (2010 - 2026)
EyePoint's Operating Expenses came in at $97.89 million for Q2 2026, up 44.9% from $67.56 million a year earlier and up 11.3% from the prior quarter.
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Analysis
EyePoint (EYPT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, EyePoint reported Operating Expenses of $319.77 million, up 32.7% year-over-year; for FY2025, it was $274.81 million, up 45.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $189.13 million in FY2024 (+56.2%), $121.09 million in FY2023 (-14.1%), $141.04 million in FY2022 (+52.9%) and $92.22 million in FY2021 (+28.6%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2019.
- Year-over-year, Operating Expenses has increased for ten consecutive quarters, with growth averaging 48.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 87.0%), and the weakest in Q4 2023 (a decline of 44.0%).
- Business Quant data shows EYPT's Operating Expenses at $87.92 million (Q1 2026), $70.97 million (Q4 2025) and $62.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | EyePoint | 35.67 Mn | -877.45 Mn | 507,000.00 | 97.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.89 Mn |
| Mar 31, 2026 | 87.92 Mn |
| Dec 31, 2025 | 70.97 Mn |
| Sep 30, 2025 | 62.99 Mn |
| Jun 30, 2025 | 67.56 Mn |
| Mar 31, 2025 | 73.29 Mn |
| Dec 31, 2024 | 56.83 Mn |
| Sep 30, 2024 | 43.27 Mn |
| Jun 30, 2024 | 44.02 Mn |
| Mar 31, 2024 | 45.01 Mn |
| Dec 31, 2023 | 30.38 Mn |
| Sep 30, 2023 | 29.60 Mn |
| Jun 30, 2023 | 31.87 Mn |
| Mar 31, 2023 | 29.24 Mn |
| Dec 31, 2022 | 54.27 Mn |
| Sep 30, 2022 | 28.41 Mn |
| Jun 30, 2022 | 30.78 Mn |
| Mar 31, 2022 | 27.58 Mn |
| Dec 31, 2021 | 29.59 Mn |
| Sep 30, 2021 | 24.37 Mn |
API Access
EyePoint Operating 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=operating-expenses&ticker=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();