Impact Biomedical (IBO) Return on Sales [ROS] (2022 - 2026)
Impact Biomedical's Return on Sales [ROS] was -3085.71% in Q3 2026, up 2180.95 percentage points from -5266.67% a year earlier and up 20314.29 percentage points from the prior quarter.
Impact Biomedical (IBO) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Impact Biomedical's Return on Sales [ROS] was -12655.26% through Sep 30, 2026, up 81996.35 percentage points year-over-year; for FY2025, it came in at -13381.25%, up 207795.67 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of -6573.25 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -221176.92% in FY2024 (-190192.31 pp), -30984.62% in FY2023 (-24176.62 pp) and -6808.00% in FY2022.
- The Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since Q2 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +5775.00 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 857652.38 percentage points); the worst was Q4 2024 (a drop of 836400.00 percentage points).
- Per Business Quant data, IBO's Return on Sales [ROS] in the three quarters before Q3 2026 was -23400.00% (Q2 2026), -32700.00% (Q1 2026) and -16714.29% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 32.98% |
| 10 | Impact Biomedical | 43.92 Mn | 47.11 Mn | 15,000.00 | -3,085.71% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3,085.71% |
| Jun 30, 2026 | -23,400.00% |
| Mar 31, 2026 | -32,700.00% |
| Dec 31, 2025 | -16,714.29% |
| Sep 30, 2025 | -5,266.67% |
| Jun 30, 2025 | -16,471.43% |
| Mar 31, 2025 | -33,666.67% |
| Dec 31, 2024 | -874,366.67% |
| Sep 30, 2024 | -37,566.67% |
| Jun 30, 2024 | -20,866.67% |
| Mar 31, 2024 | -25,700.00% |
| Dec 31, 2023 | -37,966.67% |
| Sep 30, 2023 | -35,933.33% |
| Jun 30, 2022 | -1,500.00% |
Impact Biomedical 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=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IBO", "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=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();