Impact Biomedical (IBO) EBITDA (2022 - 2026)
Impact Biomedical's EBITDA was -$418,000 in Q2 2026, compared with -$865,000 a year earlier.
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Analysis
Impact Biomedical (IBO) EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Impact Biomedical's EBITDA was -$3.95 million through Jun 30, 2026; for FY2024, it came in at -$27.63 million.
- In earlier years, EBITDA was -$2.91 million in FY2023 and -$2.29 million in FY2022.
- The Q2 2026 figure marks the highest quarterly EBITDA since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Impact Biomedical | 428.05 Mn | 428.01 Mn | 2,000.00 | -418,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -418,000.00 |
| Mar 31, 2026 | -2.00 Mn |
| Sep 30, 2025 | -660,000.00 |
| Jun 30, 2025 | -865,000.00 |
| Mar 31, 2025 | -727,000.00 |
| Dec 31, 2024 | -25.95 Mn |
| Sep 30, 2024 | -846,000.00 |
| Jun 30, 2024 | -347,000.00 |
| Mar 31, 2024 | -491,000.00 |
| Dec 31, 2023 | -859,000.00 |
| Sep 30, 2023 | -798,000.00 |
| Jun 30, 2023 | -728,000.00 |
| Mar 31, 2023 | -523,000.00 |
| Dec 31, 2022 | -754,000.00 |
| Sep 30, 2022 | -610,000.00 |
| Jun 30, 2022 | -472,000.00 |
API Access
Impact Biomedical EBITDA 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=ebitda&ticker=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();