Ocugen (OCGN) Operating Expenses (2014 - 2026)
Ocugen (OCGN) reported Operating Expenses of $17.93 million for Q2 2026, up 18.2% from $15.17 million a year earlier but down 7.4% from the prior quarter.
Ocugen (OCGN) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ocugen's Operating Expenses came in at $73.48 million, up 22.2% year-over-year; for FY2025, it was $67.33 million, up 14.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $58.81 million in FY2024 (-17.8%), $71.57 million in FY2023 (-21.8%), $91.56 million in FY2022 (+57.8%) and $58.03 million in FY2021 (+172.1%).
- Five-year quarterly Operating Expenses spans a low of $10.79 million in Q3 2021 and a high of $25.58 million in Q3 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 282.7%); the low point was Q4 2023 (a decline of 46.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.37 million (Q1 2026), $16.8 million (Q4 2025) and $19.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ocugen | 349.22 Mn | 165.73 Mn | - | 17.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.93 Mn |
| Mar 31, 2026 | 19.37 Mn |
| Dec 31, 2025 | 16.80 Mn |
| Sep 30, 2025 | 19.38 Mn |
| Jun 30, 2025 | 15.17 Mn |
| Mar 31, 2025 | 15.98 Mn |
| Dec 31, 2024 | 14.60 Mn |
| Sep 30, 2024 | 14.39 Mn |
| Jun 30, 2024 | 16.59 Mn |
| Mar 31, 2024 | 13.23 Mn |
| Dec 31, 2023 | 12.93 Mn |
| Sep 30, 2023 | 16.13 Mn |
| Jun 30, 2023 | 24.03 Mn |
| Mar 31, 2023 | 18.48 Mn |
| Dec 31, 2022 | 24.23 Mn |
| Sep 30, 2022 | 25.58 Mn |
| Jun 30, 2022 | 22.22 Mn |
| Mar 31, 2022 | 19.53 Mn |
| Dec 31, 2021 | 14.57 Mn |
| Sep 30, 2021 | 10.79 Mn |
Ocugen 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=operating-expenses&ticker=OCGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OCGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OCGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();