Ocular Therapeutix (OCUL) Non-Current Debt (2013 - 2026)
Ocular Therapeutix's Non-Current Debt came in at $72.8 million for Q2 2026, up 4.1% from $69.91 million a year earlier and up 1.0% from the prior quarter.
Powered by 
Analysis
Ocular Therapeutix (OCUL) Non-Current Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, Ocular Therapeutix's Non-Current Debt was $71.34 million, up 4.1% from FY2024.
- Non-Current Debt has increased in each of the last five years, with a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $68.51 million in FY2024 (+4.1%), $65.79 million in FY2023 (+160.5%), $25.26 million in FY2022 (+1.0%) and $25 million in FY2021 (+47.6%).
- The Q2 2026 figure represents the highest quarterly Non-Current Debt in data going back to Q4 2013.
- Year-over-year, Non-Current Debt has increased for 12 consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q2 2024 (growth of 188.1%), and the weakest in Q2 2023 (a decline of 7.3%).
- Business Quant data shows OCUL's Non-Current Debt at $72.06 million (Q1 2026), $71.34 million (Q4 2025) and $70.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 60.50 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 | 72.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.80 Mn |
| Mar 31, 2026 | 72.06 Mn |
| Dec 31, 2025 | 71.34 Mn |
| Sep 30, 2025 | 70.62 Mn |
| Jun 30, 2025 | 69.91 Mn |
| Mar 31, 2025 | 69.20 Mn |
| Dec 31, 2024 | 68.51 Mn |
| Sep 30, 2024 | 67.82 Mn |
| Jun 30, 2024 | 67.13 Mn |
| Mar 31, 2024 | 66.46 Mn |
| Dec 31, 2023 | 65.79 Mn |
| Sep 30, 2023 | 65.12 Mn |
| Jun 30, 2023 | 23.30 Mn |
| Mar 31, 2023 | 25.32 Mn |
| Dec 31, 2022 | 25.26 Mn |
| Sep 30, 2022 | 25.19 Mn |
| Jun 30, 2022 | 25.13 Mn |
| Mar 31, 2022 | 25.06 Mn |
| Dec 31, 2021 | 25.00 Mn |
| Sep 30, 2021 | 24.94 Mn |
API Access
Ocular Therapeutix Non-Current 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=non-current-debt&ticker=OCUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();