Oncolytics Biotech (ONCY) Return on Sales [ROS] (2010 - 2025)
Oncolytics Biotech (ONCY) posted Return on Sales [ROS] of -765.44% for Q2 2017, down 1133.76 percentage points from 368.32% a year earlier.
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Analysis
Oncolytics Biotech (ONCY) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2017, Return on Sales [ROS] at Oncolytics Biotech was -809.42%, down 825.48 percentage points year-over-year; for FY2009, it was -5219.29%.
- The Q2 2017 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Oncolytics Biotech | 62.32 Mn | 33.44 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -14,652.00% |
| Jun 30, 2025 | -6,196.53% |
| Dec 31, 2024 | -5,259.21% |
| Sep 30, 2024 | -3,651.72% |
| Jun 30, 2024 | -2,106.18% |
| Dec 31, 2023 | -798.77% |
| Sep 30, 2023 | -3,251.80% |
| Jun 30, 2023 | -2,769.29% |
| Dec 31, 2022 | -2,706.05% |
| Sep 30, 2022 | -3,017.81% |
| Jun 30, 2022 | -13,832.65% |
| Dec 31, 2021 | -35,040.91% |
| Sep 30, 2021 | -18,900.51% |
| Jun 30, 2021 | -24,795.15% |
| Dec 31, 2020 | -99.40% |
| Sep 30, 2020 | -50,487.26% |
| Jun 30, 2020 | -20,986.12% |
| Sep 30, 2019 | -7,670.80% |
| Jun 30, 2019 | -9,490.85% |
| Mar 31, 2019 | -9,881.26% |
API Access
Oncolytics Biotech 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=ONCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ONCY", "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=ONCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();