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.
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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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Impact Biomedical | 598.41 Mn | 601.61 Mn | 2,000.00 | - |
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();