Ocular Therapeutix (OCUL) Long-Term Debt Repayments (2013 - 2021)
Ocular Therapeutix's Long-Term Debt Repayments was $26.13 million in FY2023.
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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 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Ocular Therapeutix | 2.12 Bn | 2.12 Bn | 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();