Ocular Therapeutix (OCUL) Other Operating Expenses (2013 - 2026)
Ocular Therapeutix's Other Operating Expenses came in at $19.29 million for Q2 2026, up 23.1% from $15.67 million a year earlier and up 7.7% from the prior quarter.
Ocular Therapeutix (OCUL) Other Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ocular Therapeutix reported Other Operating Expenses of $66.61 million, up 20.5% year-over-year; for FY2025, it came in at $60.5 million, up 28.1% from FY2024.
- Other Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $47.22 million in FY2024 (+3.0%), $45.83 million in FY2023 (+3.1%), $44.46 million in FY2022 (+12.3%) and $39.6 million in FY2021 (+38.0%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2013.
- Year-over-year, Other Operating Expenses has increased for eight consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 56.2%), and the weakest in Q4 2023 (a decline of 7.9%).
- Business Quant data shows OCUL's Other Operating Expenses at $17.91 million (Q1 2026), $14.55 million (Q4 2025) and $14.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.29 Mn |
| Mar 31, 2026 | 17.91 Mn |
| Dec 31, 2025 | 14.55 Mn |
| Sep 30, 2025 | 14.86 Mn |
| Jun 30, 2025 | 15.67 Mn |
| Mar 31, 2025 | 15.41 Mn |
| Dec 31, 2024 | 12.07 Mn |
| Sep 30, 2024 | 12.13 Mn |
| Jun 30, 2024 | 11.50 Mn |
| Mar 31, 2024 | 11.51 Mn |
| Dec 31, 2023 | 10.63 Mn |
| Sep 30, 2023 | 10.69 Mn |
| Jun 30, 2023 | 12.46 Mn |
| Mar 31, 2023 | 12.05 Mn |
| Dec 31, 2022 | 11.54 Mn |
| Sep 30, 2022 | 11.26 Mn |
| Jun 30, 2022 | 11.30 Mn |
| Mar 31, 2022 | 10.36 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Sep 30, 2021 | 10.89 Mn |
Ocular Therapeutix Other Operating Expenses 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=other-operating-expenses&ticker=OCUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();