Impact Biomedical (IBO) Net Income (2022 - 2026)
Impact Biomedical (IBO) reported Net Income of -$700,000 for Q2 2026, compared with -$14.35 million a year earlier.
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Analysis
Impact Biomedical (IBO) Net Income (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Impact Biomedical's Net Income came in at -$18.81 million; for FY2024, it came in at -$24.77 million.
- By year, Net Income came in at -$4.41 million in FY2023 and -$7.26 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Net Income since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 5.53 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | -237.00 Mn |
| 10 | Impact Biomedical | 573.61 Mn | 576.81 Mn | 2,000.00 | -700,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -700,000.00 |
| Mar 31, 2026 | -2.28 Mn |
| Sep 30, 2025 | -1.48 Mn |
| Jun 30, 2025 | -14.35 Mn |
| Mar 31, 2025 | -1.28 Mn |
| Dec 31, 2024 | -27.13 Mn |
| Sep 30, 2024 | 4.24 Mn |
| Jun 30, 2024 | -884,000.00 |
| Mar 31, 2024 | -998,000.00 |
| Dec 31, 2023 | -1.26 Mn |
| Sep 30, 2023 | -1.18 Mn |
| Jun 30, 2023 | -1.12 Mn |
| Mar 31, 2023 | -849,000.00 |
| Dec 31, 2022 | -3.37 Mn |
| Sep 30, 2022 | -2.24 Mn |
| Jun 30, 2022 | -799,000.00 |
API Access
Impact Biomedical Net Income 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=net-income&ticker=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();