Radnostix (INIS) Accumulated Expenses (2010 - 2026)
Radnostix's Accumulated Expenses was $1.65 million in Q2 2026, up 31.6% from $1.25 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Radnostix (INIS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Radnostix came in at $1.7 million, up 14.0% from FY2024.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $1.49 million in FY2024 (+0.8%), $1.48 million in FY2023 (+0.7%), $1.47 million in FY2022 (+23.8%) and $1.19 million in FY2021 (-1.3%).
- Quarterly Accumulated Expenses has moved between $899,748 (Q2 2022) and $1.72 million (Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 11.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2023 (growth of 42.7%); the worst was Q3 2025 (a decline of 5.1%).
- Per Business Quant data, INIS's Accumulated Expenses in the three quarters before Q2 2026 was $1.66 million (Q1 2026), $1.7 million (Q4 2025) and $1.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn |
| 10 | Radnostix | 23.81 Mn | 17.92 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Mn |
| Mar 31, 2026 | 1.66 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.63 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.49 Mn |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.48 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.12 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 1.47 Mn |
| Sep 30, 2022 | 1.23 Mn |
| Jun 30, 2022 | 899,748.00 |
| Mar 31, 2022 | 959,752.00 |
| Dec 31, 2021 | 1.19 Mn |
| Sep 30, 2021 | 1.14 Mn |
API Access
Radnostix Accumulated 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=accumulated-expenses&ticker=INIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();