EyePoint (EYPT) Non-Current Assets (2011 - 2026)
EyePoint's Non-Current Assets was $39.37 million in Q2 2026, up 9.7% from $35.9 million a year earlier and up 1.7% from the prior quarter.
Analysis
EyePoint (EYPT) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at EyePoint came in at $35.34 million, up 0.5% from FY2024.
- Non-Current Assets has now increased for three consecutive years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $35.16 million in FY2024 (+238.6%), $10.38 million in FY2023 (+37.6%), $7.55 million in FY2022 (-70.5%) and $25.63 million in FY2021 (-10.4%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2018.
- Compared with a year earlier, Non-Current Assets has increased for 11 straight quarters, with growth averaging 90.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2024 (growth of 243.4%); the worst was Q4 2022 (a decline of 70.5%).
- Per Business Quant data, EYPT's Non-Current Assets in the three quarters before Q2 2026 was $38.71 million (Q1 2026), $35.34 million (Q4 2025) and $35.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,155.65 Bn | 1,124.24 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 623.71 Bn | 542.24 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 512.92 Bn | 486.03 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 365.46 Bn | 319.84 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.38 Bn | 261.37 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.52 Bn | 235.20 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 235.15 Bn | 190.55 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 193.26 Bn | 167.45 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 171.63 Bn | 118.27 Bn | 10.94 Bn | 159.77 Bn |
| 10 | EyePoint | 39.13 Mn | -873.99 Mn | 507,000.00 | 39.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.37 Mn |
| Mar 31, 2026 | 38.71 Mn |
| Dec 31, 2025 | 35.34 Mn |
| Sep 30, 2025 | 35.59 Mn |
| Jun 30, 2025 | 35.90 Mn |
| Mar 31, 2025 | 35.58 Mn |
| Dec 31, 2024 | 35.16 Mn |
| Sep 30, 2024 | 32.37 Mn |
| Jun 30, 2024 | 29.32 Mn |
| Mar 31, 2024 | 11.54 Mn |
| Dec 31, 2023 | 10.38 Mn |
| Sep 30, 2023 | 9.88 Mn |
| Jun 30, 2023 | 8.54 Mn |
| Mar 31, 2023 | 8.54 Mn |
| Dec 31, 2022 | 7.55 Mn |
| Sep 30, 2022 | 28.39 Mn |
| Jun 30, 2022 | 27.57 Mn |
| Mar 31, 2022 | 24.93 Mn |
| Dec 31, 2021 | 25.63 Mn |
| Sep 30, 2021 | 26.48 Mn |
API Access
EyePoint Non-Current Assets 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=non-current-assets&ticker=EYPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();