Ocular Therapeutix (OCUL) Total Non-Current Liabilities (2013 - 2026)
Ocular Therapeutix (OCUL) recorded Total Non-Current Liabilities of $140.37 million in Q2 2026, up 6.8% from $131.39 million a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
Ocular Therapeutix (OCUL) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Ocular Therapeutix reported Total Non-Current Liabilities of $139.84 million, up 8.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $129.35 million in FY2024 (-1.2%), $130.94 million in FY2023 (+21.7%), $107.56 million in FY2022 (+11.2%) and $96.7 million in FY2021 (+10.6%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2013.
- On a year-over-year basis, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 29.5% in Q3 2023, against a decline of 5.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $138.88 million (Q1 2026), $139.84 million (Q4 2025) and $137.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Ocular Therapeutix | 1.45 Bn | -895.10 Mn | 11.46 Mn | 139.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.44 Mn |
| Mar 31, 2026 | 137.98 Mn |
| Dec 31, 2025 | 138.96 Mn |
| Sep 30, 2025 | 137.54 Mn |
| Jun 30, 2025 | 131.25 Mn |
| Mar 31, 2025 | 125.99 Mn |
| Dec 31, 2024 | 129.20 Mn |
| Sep 30, 2024 | 123.77 Mn |
| Jun 30, 2024 | 117.20 Mn |
| Mar 31, 2024 | 111.23 Mn |
| Dec 31, 2023 | 130.83 Mn |
| Sep 30, 2023 | 119.02 Mn |
| Jun 30, 2023 | 107.69 Mn |
| Mar 31, 2023 | 92.93 Mn |
| Dec 31, 2022 | 107.47 Mn |
| Sep 30, 2022 | 100.76 Mn |
| Jun 30, 2022 | 96.81 Mn |
| Mar 31, 2022 | 94.59 Mn |
| Dec 31, 2021 | 96.70 Mn |
| Sep 30, 2021 | 94.34 Mn |
API Access
Ocular Therapeutix Total Non-Current Liabilities 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-non-current-liabilities&ticker=OCUL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();