Radiopharm Theranostics (RADX) Total Non-Current Liabilities (2024 - 2026)
Radiopharm Theranostics (RADX) reported Total Non-Current Liabilities of $134,159 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 27.0% from $183,657 a year earlier.
Powered by 
Analysis
Radiopharm Theranostics (RADX) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Radiopharm Theranostics posted Total Non-Current Liabilities of $128,449, down 99.6% from FY2025.
- By fiscal year, Total Non-Current Liabilities came in at $28.68 million in FY2025 (+5.8%) and $27.11 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Radiopharm Theranostics | 5.74 Bn | 5.70 Bn | 186,835.86 | 134,159.49 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134,159.49 |
| Jun 30, 2025 | 183,656.95 |
| Dec 31, 2024 | 27.30 Mn |
| Jun 30, 2024 | 178,643.67 |
API Access
Radiopharm Theranostics 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=RADX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RADX", "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=RADX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();