Intelligent Bio Solutions (INBS) Operating Expenses (2019 - 2026)
Intelligent Bio Solutions' Operating Expenses was $4.75 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 24.2% from $3.83 million a year earlier and up 30.2% from the prior quarter.
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Analysis
Intelligent Bio Solutions (INBS) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Intelligent Bio Solutions came in at $15.34 million, up 20.3% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $12.74 million in FY2025, $15,108 in FY2024 (-99.9%), $13.66 million in FY2023 (+55.7%) and $8.77 million in FY2022 (+16.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses since fiscal Q3 2023.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 14.1% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2023 (growth of 336.0%); the worst was fiscal Q3 2024 (a decline of 52.0%).
- Per Business Quant data, INBS's Operating Expenses in the three fiscal quarters before Q4 2026 was $3.65 million (Q3 2026), $3.17 million (Q2 2026) and $3.71 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Intelligent Bio Solutions | 2.43 Mn | -11.04 Mn | 536,583.00 | 4.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.75 Mn |
| Mar 31, 2026 | 3.65 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 3.07 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 3.22 Mn |
| Dec 31, 2023 | 2.34 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 6.69 Mn |
| Dec 31, 2022 | 2.64 Mn |
| Sep 30, 2022 | 1.53 Mn |
| Jun 30, 2022 | 2.15 Mn |
| Mar 31, 2022 | 1.54 Mn |
| Dec 31, 2021 | 3.64 Mn |
| Sep 30, 2021 | 1.44 Mn |
| Jun 30, 2021 | 2.46 Mn |
API Access
Intelligent Bio Solutions Operating Expenses 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=operating-expenses&ticker=INBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=INBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();