Impact Biomedical (IBO) EPS (Diluted) (2022 - 2026)
Impact Biomedical's EPS (Diluted) came in at $0.00 for Q3 2026, compared with $0.00 a year earlier.
Analysis
Impact Biomedical (IBO) EPS (Diluted) (2022 - 2026) Analysis & Trends
Going back to Q2 2022, Impact Biomedical's EPS (Diluted) data covers 18 quarters.
- Going back by year, EPS (Diluted) was $0.00 in FY2024, $0.00 in FY2023 and $0.00 in FY2022.
- The five-year range for quarterly EPS (Diluted) is $0.00 (Q4 2024) to $0.00 (Q4 2025).
- Business Quant data shows IBO's EPS (Diluted) at $0.00 (Q2 2026), $0.00 (Q1 2026) and $0.00 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 7.22 |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 0.09 |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 2.38 |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 2.04 |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 2.00 |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 7.08 |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 1.94 |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 0.56 |
| 10 | Impact Biomedical | 43.92 Mn | 47.11 Mn | 15,000.00 | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.00 |
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.00 |
API Access
Impact Biomedical EPS (Diluted) 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=eps-diluted&ticker=IBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();