Ocular Therapeutix (OCUL) Total Current Liabilities (2013 - 2026)
Ocular Therapeutix's Total Current Liabilities came in at $49.17 million for Q2 2026, up 14.5% from $42.93 million a year earlier and up 3.1% from the prior quarter.
Ocular Therapeutix (OCUL) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Ocular Therapeutix's Total Current Liabilities was $50.81 million, up 22.9% from FY2024.
- Total Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $41.35 million in FY2024 (+18.5%), $34.9 million in FY2023 (+11.2%), $31.4 million in FY2022 (+19.2%) and $26.34 million in FY2021 (-1.2%).
- The five-year range for quarterly Total Current Liabilities is $23.96 million (Q1 2022) to $50.81 million (Q4 2025).
- Year-over-year, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 27.5% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2025 (growth of 56.1%), and the weakest in Q1 2024 (a decline of 18.2%).
- Business Quant data shows OCUL's Total Current Liabilities at $47.68 million (Q1 2026), $50.81 million (Q4 2025) and $49.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Ocular Therapeutix | 2.12 Bn | 2.12 Bn | 11.46 Mn | 49.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.17 Mn |
| Mar 31, 2026 | 47.68 Mn |
| Dec 31, 2025 | 50.81 Mn |
| Sep 30, 2025 | 49.29 Mn |
| Jun 30, 2025 | 42.93 Mn |
| Mar 31, 2025 | 37.93 Mn |
| Dec 31, 2024 | 41.35 Mn |
| Sep 30, 2024 | 36.36 Mn |
| Jun 30, 2024 | 29.97 Mn |
| Mar 31, 2024 | 24.30 Mn |
| Dec 31, 2023 | 34.90 Mn |
| Sep 30, 2023 | 35.07 Mn |
| Jun 30, 2023 | 32.36 Mn |
| Mar 31, 2023 | 29.72 Mn |
| Dec 31, 2022 | 31.40 Mn |
| Sep 30, 2022 | 29.27 Mn |
| Jun 30, 2022 | 26.11 Mn |
| Mar 31, 2022 | 23.96 Mn |
| Dec 31, 2021 | 26.34 Mn |
| Sep 30, 2021 | 25.16 Mn |
Ocular Therapeutix Total 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-current-liabilities&ticker=OCUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();