Intelligent Bio Solutions (INBS) Net Margin (2019 - 2026)
Intelligent Bio Solutions' Net Margin was -341.04% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 25.13 percentage points from -366.18% a year earlier but down 71.18 percentage points from the prior quarter.
Intelligent Bio Solutions (INBS) Net Margin (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Net Margin at Intelligent Bio Solutions came in at -294.91%, up 51.32 percentage points from FY2025.
- Net Margin shows a five-year change of +60.42 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was -346.23% in FY2025, -845.89% in FY2023 (+1054.18 pp) and -1900.06% in FY2022 (-1544.73 pp).
- Quarterly Net Margin has moved between -3108.45% (fiscal Q4 2022) and -117.92% (fiscal Q2 2023) over five years.
- Compared with a year earlier, Net Margin has increased for four straight quarters, with an average year-over-year change of +16.04 percentage points over the last seven quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q3 2022 (a gain of 8428.01 percentage points); the worst was fiscal Q4 2022 (a drop of 3055.40 percentage points).
- Per Business Quant data, INBS's Net Margin in the three fiscal quarters before Q4 2026 was -269.86% (Q3 2026), -298.58% (Q2 2026) and -268.30% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Intelligent Bio Solutions | 2.43 Mn | -11.04 Mn | 536,583.00 | -341.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -341.04% |
| Mar 31, 2026 | -269.86% |
| Dec 31, 2025 | -298.58% |
| Sep 30, 2025 | -268.30% |
| Jun 30, 2025 | -366.18% |
| Mar 31, 2025 | -348.97% |
| Dec 31, 2024 | -370.29% |
| Sep 30, 2024 | -307.88% |
| Mar 31, 2024 | -361.46% |
| Dec 31, 2023 | -257.79% |
| Sep 30, 2023 | -304.64% |
| Jun 30, 2023 | -600.03% |
| Mar 31, 2023 | -1,387.99% |
| Dec 31, 2022 | -117.92% |
| Sep 30, 2022 | -388.12% |
| Jun 30, 2022 | -3,108.45% |
| Mar 31, 2022 | -693.63% |
| Dec 31, 2021 | -1,946.10% |
| Jun 30, 2021 | -53.06% |
| Mar 31, 2021 | -9,121.65% |
Intelligent Bio Solutions Net Margin 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=net-margin&ticker=INBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=INBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();