Ocular Therapeutix (OCUL) Notes Payables (2013 - 2023)
Ocular Therapeutix's Notes Payables came in at $2.08 million for Q2 2023.
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Analysis
Ocular Therapeutix (OCUL) Notes Payables (2013 - 2023) Analysis & Trends
At the end of FY2020, Ocular Therapeutix's Notes Payables was $8.29 million.
- Notes Payables carries a four-year compound annual growth rate of 52.1% (FY2016 to FY2020).
- Going back by year, Notes Payables was $5.55 million in FY2017 (+258.0%) and $1.55 million in FY2016.
- The Q2 2023 figure represents the highest quarterly Notes Payables since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.42 Bn | 1,106.00 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.98 Bn | 536.51 Bn | 17.26 Bn |
| 3 | AbbVie | 502.80 Bn | 475.92 Bn | 12.70 Bn |
| 4 | Merck | 368.67 Bn | 323.05 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.36 Bn | 262.35 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.17 Bn | 234.85 Bn | 12.86 Bn |
| 7 | Amgen | 237.18 Bn | 192.58 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.11 Bn | 165.31 Bn | 6.22 Bn |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn |
| 10 | Ocular Therapeutix | 1.46 Bn | -888.36 Mn | 11.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 2.08 Mn |
| Mar 31, 2021 | 8.29 Mn |
| Dec 31, 2020 | 8.29 Mn |
| Sep 30, 2020 | 6.21 Mn |
| Jun 30, 2020 | 4.15 Mn |
| Mar 31, 2020 | 2.07 Mn |
| Sep 30, 2018 | 6.09 Mn |
| Jun 30, 2018 | 6.08 Mn |
| Mar 31, 2018 | 6.07 Mn |
| Dec 31, 2017 | 5.55 Mn |
| Sep 30, 2017 | 3.99 Mn |
| Jun 30, 2017 | 2.44 Mn |
| Mar 31, 2017 | 897,000.00 |
| Dec 31, 2016 | 1.55 Mn |
| Sep 30, 2016 | 3.77 Mn |
| Jun 30, 2016 | 2.47 Mn |
| Mar 31, 2016 | 1.16 Mn |
| Sep 30, 2015 | 5.88 Mn |
| Jun 30, 2015 | 4.37 Mn |
| Mar 31, 2015 | 2.86 Mn |
API Access
Ocular Therapeutix Notes Payables 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=notes-payables&ticker=OCUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();