Intelligent Bio Solutions (INBS) Total Liabilities (2020 - 2026)
Intelligent Bio Solutions (INBS) reported Total Liabilities of $6.43 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.4% from $5.25 million a year earlier and up 9.0% from the prior quarter.
Intelligent Bio Solutions (INBS) Total Liabilities (2020 - 2026) Analysis & Trends
Dating back to fiscal Q4 2020, Intelligent Bio Solutions' Total Liabilities record includes 24 quarters.
- Total Liabilities has a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $5.25 million in FY2025 (-6.1%), $5.6 million in FY2024 (-16.1%), $6.67 million in FY2023 (+14.8%) and $5.81 million in FY2022 (-15.3%).
- Five-year quarterly Total Liabilities spans a low of $4.48 million in fiscal Q2 2025 and a high of $7.78 million in fiscal Q2 2023.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 338.3%); the low point was fiscal Q2 2024 (a decline of 27.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $5.9 million (Q3 2026), $6.76 million (Q2 2026) and $6.61 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Intelligent Bio Solutions | 2.43 Mn | -11.04 Mn | 536,583.00 | 6.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.43 Mn |
| Mar 31, 2026 | 5.90 Mn |
| Dec 31, 2025 | 6.76 Mn |
| Sep 30, 2025 | 6.61 Mn |
| Jun 30, 2025 | 5.25 Mn |
| Mar 31, 2025 | 4.64 Mn |
| Dec 31, 2024 | 4.48 Mn |
| Sep 30, 2024 | 5.78 Mn |
| Jun 30, 2024 | 5.60 Mn |
| Mar 31, 2024 | 6.04 Mn |
| Dec 31, 2023 | 5.67 Mn |
| Sep 30, 2023 | 7.46 Mn |
| Jun 30, 2023 | 6.67 Mn |
| Mar 31, 2023 | 4.74 Mn |
| Dec 31, 2022 | 7.78 Mn |
| Sep 30, 2022 | 4.96 Mn |
| Jun 30, 2022 | 5.81 Mn |
| Mar 31, 2022 | 5.66 Mn |
| Dec 31, 2021 | 5.19 Mn |
| Sep 30, 2021 | 5.61 Mn |
Intelligent Bio Solutions Total Liabilities 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=total-liabilities&ticker=INBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=INBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();