Ocular Therapeutix (OCUL) Total Debt (2013 - 2026)
Ocular Therapeutix's Total Debt was $72.8 million in Q2 2026, up 4.1% from $69.91 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Ocular Therapeutix (OCUL) Total Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Ocular Therapeutix came in at $71.34 million, up 4.1% from FY2024.
- Total Debt has now increased for four consecutive years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- In earlier years, Total 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 (-0.9%).
- The Q2 2026 figure marks the highest quarterly Total Debt in data going back to Q4 2013.
- Compared with a year earlier, Total Debt has increased for 18 straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was Q2 2024 (growth of 164.4%); the worst was Q3 2021 (a decline of 0.9%).
- Per Business Quant data, OCUL's Total Debt in the three quarters before Q2 2026 was $72.06 million (Q1 2026), $71.34 million (Q4 2025) and $70.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 63.19 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 | 25.39 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 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=OCUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();