Ocular Therapeutix (OCUL) Cash & Equivalents (2013 - 2026)
Ocular Therapeutix (OCUL) recorded Cash & Equivalents of $598.64 million in Q2 2026, up 53.1% from $391.13 million a year earlier but down 10.2% from the prior quarter.
Ocular Therapeutix (OCUL) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Ocular Therapeutix reported Cash & Equivalents of $737.06 million, up 88.0% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $392.1 million in FY2024 (+100.2%), $195.81 million in FY2023 (+91.4%), $102.3 million in FY2022 (-37.7%) and $164.16 million in FY2021 (-28.0%).
- Quarterly Cash & Equivalents has ranged from $66.61 million in Q2 2023 to $737.06 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 69.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 590.2% in Q2 2024, against a decline of 50.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $666.7 million (Q1 2026), $737.06 million (Q4 2025) and $344.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Ocular Therapeutix | 2.12 Bn | 2.12 Bn | 11.46 Mn | 598.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 598.64 Mn |
| Mar 31, 2026 | 666.70 Mn |
| Dec 31, 2025 | 737.06 Mn |
| Sep 30, 2025 | 344.77 Mn |
| Jun 30, 2025 | 391.13 Mn |
| Mar 31, 2025 | 349.68 Mn |
| Dec 31, 2024 | 392.10 Mn |
| Sep 30, 2024 | 427.22 Mn |
| Jun 30, 2024 | 459.69 Mn |
| Mar 31, 2024 | 482.89 Mn |
| Dec 31, 2023 | 195.81 Mn |
| Sep 30, 2023 | 110.55 Mn |
| Jun 30, 2023 | 66.61 Mn |
| Mar 31, 2023 | 79.03 Mn |
| Dec 31, 2022 | 102.30 Mn |
| Sep 30, 2022 | 120.95 Mn |
| Jun 30, 2022 | 134.54 Mn |
| Mar 31, 2022 | 145.42 Mn |
| Dec 31, 2021 | 164.16 Mn |
| Sep 30, 2021 | 179.28 Mn |
Ocular Therapeutix Cash & Equivalents 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=cash-and-equivalents&ticker=OCUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();