Radnostix (INIS) Operating Expenses (2010 - 2026)
Radnostix's Operating Expenses came in at $2.19 million for Q2 2026, down 3.6% from $2.28 million a year earlier and down 10.9% from the prior quarter.
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Analysis
Radnostix (INIS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Radnostix reported Operating Expenses of $8.94 million, up 2.9% year-over-year; for FY2025, it came in at $8.66 million, up 0.2% from FY2024.
- Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $8.64 million in FY2024 (+6.0%), $8.16 million in FY2023 (+8.8%), $7.49 million in FY2022 (+16.7%) and $6.42 million in FY2021 (+9.2%).
- The five-year range for quarterly Operating Expenses is $1.61 million (Q3 2021) to $2.46 million (Q1 2026).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 27.4%), and the weakest in Q3 2025 (a decline of 6.5%).
- Business Quant data shows INIS's Operating Expenses at $2.46 million (Q1 2026), $2.16 million (Q4 2025) and $2.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Radnostix | 23.81 Mn | 17.92 Mn | 1.36 Mn | 2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.12 Mn |
| Jun 30, 2025 | 2.28 Mn |
| Mar 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 2.27 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 2.05 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 1.93 Mn |
| Dec 31, 2022 | 1.73 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 1.75 Mn |
| Mar 31, 2022 | 2.05 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Sep 30, 2021 | 1.61 Mn |
API Access
Radnostix 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=INIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INIS", "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=INIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();