EyePoint (EYPT) Long-Term Debt Repayments (2019 - 2026)
EyePoint (EYPT) posted Long-Term Debt Repayments of $28,000 for Q2 2026, up 75.0% from $16,000 a year earlier but down 3.4% from the prior quarter.
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Analysis
EyePoint (EYPT) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at EyePoint was $111,000, down 28.8% year-over-year; for FY2025, it was $105,000, unchanged from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -62.3% (FY2020 to FY2025).
- In prior years, EyePoint's Long-Term Debt Repayments was $105,000 in FY2024 (-99.7%), $30 million in FY2023 (-21.5%), $38.24 million in FY2022 and $146,000 in FY2021 (-98.9%).
- Quarterly Long-Term Debt Repayments has run from a low of $16,000 in Q2 2025 to a high of $38.24 million in Q1 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last four quarters, with an average decline of 5.2%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2021, with growth of 200.0%; the weakest was Q1 2023, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $29,000 (Q1 2026), $27,000 (Q4 2025) and $27,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | EyePoint | 36.81 Mn | -876.32 Mn | 507,000.00 | 28,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28,000.00 |
| Mar 31, 2026 | 29,000.00 |
| Dec 31, 2025 | 27,000.00 |
| Sep 30, 2025 | 27,000.00 |
| Jun 30, 2025 | 16,000.00 |
| Mar 31, 2025 | 35,000.00 |
| Dec 31, 2024 | 32,000.00 |
| Sep 30, 2024 | 73,000.00 |
| Jun 30, 2023 | 30.02 Mn |
| Mar 31, 2023 | 18,000.00 |
| Dec 31, 2022 | 34,000.00 |
| Sep 30, 2022 | 35,000.00 |
| Jun 30, 2022 | 34,000.00 |
| Mar 31, 2022 | 38.27 Mn |
| Dec 31, 2021 | 44,000.00 |
| Sep 30, 2021 | 45,000.00 |
| Jun 30, 2021 | 29,000.00 |
| Mar 31, 2021 | 18,000.00 |
| Dec 31, 2020 | 13.81 Mn |
| Sep 30, 2020 | 15,000.00 |
API Access
EyePoint Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();