Ocular Therapeutix (OCUL) Long-Term Debt Repayments (2013 - 2021)
Ocular Therapeutix's Long-Term Debt Repayments was $26.13 million in FY2023.
Powered by 
Analysis
Ocular Therapeutix (OCUL) Long-Term Debt Repayments (2013 - 2021) Analysis & Trends
From FY2012 onward, Ocular Therapeutix has reported Long-Term Debt Repayments for 9 years.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 35.8% (FY2018 to FY2023).
- The FY2023 figure marks the highest annual Long-Term Debt Repayments in data going back to FY2012.
- Per Business Quant data, Long-Term Debt Repayments in earlier years was $4.17 million in FY2021 (+30.2%) and $3.2 million in FY2020.
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 | Ocular Therapeutix | 1.45 Bn | -895.10 Mn | 11.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 2.08 Mn |
| Mar 31, 2021 | 2.08 Mn |
| Dec 31, 2018 | 1.54 Mn |
| Sep 30, 2018 | 1.54 Mn |
| Jun 30, 2018 | 1.54 Mn |
| Mar 31, 2018 | 1.03 Mn |
| Mar 31, 2017 | 1.30 Mn |
| Jun 30, 2014 | 1.82 Mn |
| Mar 31, 2014 | 454,000.00 |
| Dec 31, 2013 | 454,000.00 |
| Sep 30, 2013 | 454,000.00 |
API Access
Ocular Therapeutix 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=OCUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "OCUL", "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=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();