EyePoint (EYPT) Total Current Liabilities (2011 - 2026)
EyePoint (EYPT) reported Total Current Liabilities of $41.94 million for Q2 2026, up 26.4% from $33.18 million a year earlier and up 12.0% from the prior quarter.
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Analysis
EyePoint (EYPT) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, EyePoint posted Total Current Liabilities of $37.02 million, down 24.5% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $49.05 million in FY2024 (-22.5%), $63.26 million in FY2023 (+83.2%), $34.54 million in FY2022 (+46.0%) and $23.66 million in FY2021 (+58.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q4 2024.
- Year over year, Total Current Liabilities gained in 1 of the last eight quarters, with an average decline of 21.6%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2022 (growth of 137.9%); the low point was Q2 2025 (a decline of 46.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.46 million (Q1 2026), $37.02 million (Q4 2025) and $30.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | EyePoint | 281.29 Mn | -631.84 Mn | 507,000.00 | 41.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.94 Mn |
| Mar 31, 2026 | 37.46 Mn |
| Dec 31, 2025 | 37.02 Mn |
| Sep 30, 2025 | 30.09 Mn |
| Jun 30, 2025 | 33.18 Mn |
| Mar 31, 2025 | 41.68 Mn |
| Dec 31, 2024 | 49.05 Mn |
| Sep 30, 2024 | 48.79 Mn |
| Jun 30, 2024 | 62.10 Mn |
| Mar 31, 2024 | 62.58 Mn |
| Dec 31, 2023 | 63.26 Mn |
| Sep 30, 2023 | 63.90 Mn |
| Jun 30, 2023 | 68.92 Mn |
| Mar 31, 2023 | 27.24 Mn |
| Dec 31, 2022 | 34.54 Mn |
| Sep 30, 2022 | 34.26 Mn |
| Jun 30, 2022 | 33.39 Mn |
| Mar 31, 2022 | 31.97 Mn |
| Dec 31, 2021 | 23.66 Mn |
| Sep 30, 2021 | 19.93 Mn |
API Access
EyePoint Total Current Liabilities 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=total-current-liabilities&ticker=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();