EyePoint (EYPT) Total Debt (2018 - 2023)
EyePoint's Total Debt came in at $34.67 million for Q1 2023, down 12.4% from $39.58 million a year earlier and down 12.9% from the prior quarter.
Analysis
EyePoint (EYPT) Total Debt (2018 - 2023) Analysis & Trends
At the end of FY2022, EyePoint's Total Debt was $39.79 million, up 8.8% from FY2021.
- Total Debt carries a four-year compound annual growth rate of 22.6% (FY2018 to FY2022).
- Going back by year, Total Debt was $36.56 million in FY2021 (-3.7%), $37.98 million in FY2020 (-19.6%), $47.22 million in FY2019 (+168.0%) and $17.62 million in FY2018.
- The Q1 2023 figure represents the lowest quarterly Total Debt since Q1 2019.
- Year-over-year, Total Debt increased in four of the last eight quarters, with an average decline of 5.1%.
- The fastest year-over-year change in Total Debt over five years came in Q4 2019 (growth of 168.0%), and the weakest in Q3 2021 (a decline of 28.3%).
- Business Quant data shows EYPT's Total Debt at $39.79 million (Q4 2022), $39.73 million (Q3 2022) and $39.66 million (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 49.04 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 37.49 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -111.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 63.19 Bn |
| 10 | EyePoint | 274.49 Mn | -638.63 Mn | 507,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 34.67 Mn |
| Dec 31, 2022 | 39.79 Mn |
| Sep 30, 2022 | 39.73 Mn |
| Jun 30, 2022 | 39.66 Mn |
| Mar 31, 2022 | 39.58 Mn |
| Dec 31, 2021 | 36.56 Mn |
| Sep 30, 2021 | 36.40 Mn |
| Jun 30, 2021 | 36.24 Mn |
| Mar 31, 2021 | 38.12 Mn |
| Dec 31, 2020 | 37.98 Mn |
| Sep 30, 2020 | 50.78 Mn |
| Jun 30, 2020 | 50.26 Mn |
| Mar 31, 2020 | 47.72 Mn |
| Dec 31, 2019 | 47.22 Mn |
| Sep 30, 2019 | 46.73 Mn |
| Jun 30, 2019 | 46.25 Mn |
| Mar 31, 2019 | 31.95 Mn |
| Dec 31, 2018 | 17.62 Mn |
| Sep 30, 2018 | 17.46 Mn |
| Jun 30, 2018 | 17.31 Mn |
API Access
EyePoint Total Debt 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-debt&ticker=EYPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();