Ocular Therapeutix (OCUL) Non-Current Assets (2013 - 2026)
Ocular Therapeutix (OCUL) posted Non-Current Assets of $26.89 million for Q2 2026, up 49.7% from $17.96 million a year earlier and up 1.3% from the prior quarter.
Ocular Therapeutix (OCUL) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Ocular Therapeutix's Non-Current Assets came in at $25.93 million, up 53.0% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior years, Ocular Therapeutix's Non-Current Assets was $16.95 million in FY2024 (-14.5%), $19.83 million in FY2023 (+0.8%), $19.66 million in FY2022 (+44.7%) and $13.59 million in FY2021 (-13.5%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2013.
- On a year-over-year basis, Non-Current Assets has increased in each of the last four quarters, with growth averaging 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2023, with growth of 71.4%; the weakest was Q3 2024, with a decline of 17.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $26.53 million (Q1 2026), $25.93 million (Q4 2025) and $23.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Ocular Therapeutix | 2.12 Bn | 2.12 Bn | 11.46 Mn | 26.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.89 Mn |
| Mar 31, 2026 | 26.53 Mn |
| Dec 31, 2025 | 25.93 Mn |
| Sep 30, 2025 | 23.90 Mn |
| Jun 30, 2025 | 17.96 Mn |
| Mar 31, 2025 | 18.23 Mn |
| Dec 31, 2024 | 16.95 Mn |
| Sep 30, 2024 | 17.36 Mn |
| Jun 30, 2024 | 18.51 Mn |
| Mar 31, 2024 | 19.12 Mn |
| Dec 31, 2023 | 19.83 Mn |
| Sep 30, 2023 | 21.13 Mn |
| Jun 30, 2023 | 21.85 Mn |
| Mar 31, 2023 | 21.41 Mn |
| Dec 31, 2022 | 19.66 Mn |
| Sep 30, 2022 | 12.96 Mn |
| Jun 30, 2022 | 12.75 Mn |
| Mar 31, 2022 | 12.97 Mn |
| Dec 31, 2021 | 13.59 Mn |
| Sep 30, 2021 | 13.81 Mn |
Ocular Therapeutix Non-Current Assets 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-assets&ticker=OCUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();