Radiopharm Theranostics (RADX) Receivables (2023 - 2026)
Radiopharm Theranostics (RADX) reported Receivables of $123,764 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 85.8% from $66,605 a year earlier.
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Analysis
Radiopharm Theranostics (RADX) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Radiopharm Theranostics posted Receivables of $118,496, down 98.9% from FY2025.
- Receivables has a three-year compound annual growth rate of -70.2% (FY2023 to FY2026).
- By fiscal year, Receivables came in at $10.4 million in FY2025, $6,507 in FY2024 (-99.9%) and $4.47 million in FY2023.
- The fiscal Q4 2026 figure ranks as the highest quarterly Receivables since fiscal Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Radiopharm Theranostics | 2.70 Bn | 2.62 Bn | - | 17.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.45 Mn |
| Jun 30, 2025 | 10.40 Mn |
| Dec 31, 2024 | 6.25 Mn |
| Jun 30, 2024 | 987,413.00 |
| Jun 30, 2023 | 4.47 Mn |
API Access
Radiopharm Theranostics Receivables 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=receivables&ticker=RADX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RADX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();