Ocular Therapeutix (OCUL) Return on Assets [ROA] (2014 - 2026)
Ocular Therapeutix (OCUL) reported Return on Assets [ROA] of -43.13% for Q2 2026, up 8.86 percentage points from -51.99% a year earlier but down 5.42 percentage points from the prior quarter.
Ocular Therapeutix (OCUL) Return on Assets [ROA] (2014 - 2026) Analysis & Trends
For FY2025, Ocular Therapeutix posted Return on Assets [ROA] of -41.63%, up 4.87 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -0.85 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -46.50% in FY2024 (-1.78 pp), -44.72% in FY2023 (+3.21 pp), -47.93% in FY2022 (-11.65 pp) and -36.28% in FY2021 (+4.50 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -71.20% in Q2 2023 and a high of -22.10% in Q2 2024.
- Year over year, Return on Assets [ROA] gained in four of the last eight quarters, with an average year-over-year change of -3.71 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was Q2 2024 (a gain of 49.11 percentage points); the low point was Q2 2025 (a drop of 29.90 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -37.71% (Q1 2026), -43.23% (Q4 2025) and -57.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 16.34% |
| 10 | Ocular Therapeutix | 2.12 Bn | 2.12 Bn | 11.46 Mn | -43.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.13% |
| Mar 31, 2026 | -37.71% |
| Dec 31, 2025 | -43.23% |
| Sep 30, 2025 | -57.35% |
| Jun 30, 2025 | -51.99% |
| Mar 31, 2025 | -45.47% |
| Dec 31, 2024 | -34.81% |
| Sep 30, 2024 | -27.56% |
| Jun 30, 2024 | -22.10% |
| Mar 31, 2024 | -24.71% |
| Dec 31, 2023 | -43.30% |
| Sep 30, 2023 | -61.61% |
| Jun 30, 2023 | -71.20% |
| Mar 31, 2023 | -64.16% |
| Dec 31, 2022 | -55.14% |
| Sep 30, 2022 | -50.54% |
| Jun 30, 2022 | -45.43% |
| Mar 31, 2022 | -41.92% |
| Dec 31, 2021 | -40.07% |
| Sep 30, 2021 | -36.13% |
Ocular Therapeutix Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=OCUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=OCUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();