Radnostix (INIS) Total Non-Current Liabilities (2010 - 2026)
Radnostix's Total Non-Current Liabilities was $10.56 million in Q2 2026, up 4.2% from $10.14 million a year earlier and up 4.6% from the prior quarter.
Radnostix (INIS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Radnostix came in at $10.17 million, up 7.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.49 million in FY2024 (-1.1%), $9.59 million in FY2023 (+14.4%), $8.39 million in FY2022 (-3.2%) and $8.66 million in FY2021 (+1.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 23.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2023 (growth of 115.2%); the worst was Q3 2021 (a decline of 52.4%).
- Per Business Quant data, INIS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $10.09 million (Q1 2026), $10.17 million (Q4 2025) and $10.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,155.99 Bn | 1,124.57 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.41 Bn | 542.93 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 513.91 Bn | 487.02 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.17 Bn | 320.54 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.71 Bn | 261.70 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.87 Bn | 235.56 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 235.46 Bn | 190.86 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.80 Bn | 168.00 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.28 Bn | 118.93 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Radnostix | 26.09 Mn | 20.19 Mn | 1.36 Mn | 10.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 Mn |
| Mar 31, 2026 | 10.09 Mn |
| Dec 31, 2025 | 10.17 Mn |
| Sep 30, 2025 | 10.06 Mn |
| Jun 30, 2025 | 10.14 Mn |
| Mar 31, 2025 | 8.59 Mn |
| Dec 31, 2024 | 9.49 Mn |
| Sep 30, 2024 | 9.40 Mn |
| Jun 30, 2024 | 5.39 Mn |
| Mar 31, 2024 | 5.45 Mn |
| Dec 31, 2023 | 9.59 Mn |
| Sep 30, 2023 | 8.56 Mn |
| Jun 30, 2023 | 8.32 Mn |
| Mar 31, 2023 | 8.35 Mn |
| Dec 31, 2022 | 8.39 Mn |
| Sep 30, 2022 | 3.98 Mn |
| Jun 30, 2022 | 4.02 Mn |
| Mar 31, 2022 | 4.06 Mn |
| Dec 31, 2021 | 8.66 Mn |
| Sep 30, 2021 | 4.29 Mn |
Radnostix Total Non-Current 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-non-current-liabilities&ticker=INIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=INIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();