Impact Biomedical (IBO) Receivables (2023 - 2025)
Impact Biomedical's Receivables came in at $5,000 for Q4 2025, down 97.5% from $201,000 a year earlier and down 97.5% from the prior quarter.
Powered by 
Analysis
Impact Biomedical (IBO) Receivables (2023 - 2025) Analysis & Trends
Going back to Q4 2023, Impact Biomedical's Receivables data covers 8 quarters.
- Going back by year, Receivables was $201,000 in FY2024 (+57.0%) and $128,000 in FY2023.
- The Q4 2025 figure represents the lowest quarterly Receivables in data going back to Q4 2023.
- Year-over-year, Receivables increased in three of the last four quarters, with growth averaging 18.0%.
- Business Quant data shows IBO's Receivables at $199,000 (Q3 2025), $200,000 (Q2 2025) and $200,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Impact Biomedical | 43.92 Mn | 47.11 Mn | 15,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5,000.00 |
| Sep 30, 2025 | 199,000.00 |
| Jun 30, 2025 | 200,000.00 |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 201,000.00 |
| Jun 30, 2024 | 128,000.00 |
| Mar 31, 2024 | 128,000.00 |
| Dec 31, 2023 | 128,000.00 |
API Access
Impact Biomedical Receivables 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=receivables&ticker=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();