EyePoint (EYPT) Return on Sales [ROS] (2010 - 2026)
EyePoint (EYPT) recorded Return on Sales [ROS] of -19207.10% in Q2 2026, down 18040.27 percentage points from -1166.83% a year earlier and down 6674.63 percentage points from the prior quarter.
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Analysis
EyePoint (EYPT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, EyePoint's Return on Sales [ROS] came in at -11365.22% as of Jun 30, 2026, down 11000.95 percentage points year-over-year; for FY2025, it was -775.98%, down 438.93 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -667.70 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -337.06% in FY2024 (-173.93 pp), -163.13% in FY2023 (+77.52 pp), -240.65% in FY2022 (-91.00 pp) and -149.64% in FY2021 (-41.36 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q4 2018.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -6080.67 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 298.64 percentage points in Q4 2023, against a drop of 18040.27 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -12532.47% (Q1 2026), -11345.97% (Q4 2025) and -6420.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | EyePoint | 276.19 Mn | -636.93 Mn | 507,000.00 | -19,207.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19,207.10% |
| Mar 31, 2026 | -12,532.47% |
| Dec 31, 2025 | -11,345.97% |
| Sep 30, 2025 | -6,420.81% |
| Jun 30, 2025 | -1,166.83% |
| Mar 31, 2025 | -199.72% |
| Dec 31, 2024 | -390.40% |
| Sep 30, 2024 | -311.17% |
| Jun 30, 2024 | -364.52% |
| Mar 31, 2024 | -285.18% |
| Dec 31, 2023 | -116.58% |
| Sep 30, 2023 | -94.71% |
| Jun 30, 2023 | -249.98% |
| Mar 31, 2023 | -280.54% |
| Dec 31, 2022 | -415.22% |
| Sep 30, 2022 | -183.76% |
| Jun 30, 2022 | -166.16% |
| Mar 31, 2022 | -196.73% |
| Dec 31, 2021 | -156.36% |
| Sep 30, 2021 | -169.04% |
API Access
EyePoint Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=EYPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EYPT", "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-sales-%5Bros%5D&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();