Radnostix (INIS) Total Current Liabilities (2010 - 2026)
Radnostix (INIS) posted Total Current Liabilities of $4.19 million for Q2 2026, up 34.9% from $3.11 million a year earlier but down 5.7% from the prior quarter.
Radnostix (INIS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Radnostix's Total Current Liabilities came in at $3.97 million, up 19.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In prior years, Radnostix's Total Current Liabilities was $3.33 million in FY2024 (+1.7%), $3.27 million in FY2023 (-6.9%), $3.51 million in FY2022 (-28.8%) and $4.93 million in FY2021 (-12.8%).
- Quarterly Total Current Liabilities has run from a low of $3.11 million in Q2 2025 to a high of $8.95 million in Q3 2021 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with an average decline of 4.2%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 111.4%; the weakest was Q1 2023, with a decline of 59.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $4.45 million (Q1 2026), $3.97 million (Q4 2025) and $3.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Radnostix | 23.81 Mn | 17.92 Mn | 1.36 Mn | 4.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.19 Mn |
| Mar 31, 2026 | 4.45 Mn |
| Dec 31, 2025 | 3.97 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 3.33 Mn |
| Sep 30, 2024 | 3.27 Mn |
| Jun 30, 2024 | 6.71 Mn |
| Mar 31, 2024 | 7.33 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 3.55 Mn |
| Jun 30, 2023 | 3.27 Mn |
| Mar 31, 2023 | 3.47 Mn |
| Dec 31, 2022 | 3.51 Mn |
| Sep 30, 2022 | 8.49 Mn |
| Jun 30, 2022 | 7.63 Mn |
| Mar 31, 2022 | 8.56 Mn |
| Dec 31, 2021 | 4.93 Mn |
| Sep 30, 2021 | 8.95 Mn |
Radnostix Total 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-current-liabilities&ticker=INIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=INIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();