Perspective Therapeutics (CATX) Total Liabilities (2011 - 2026)
Perspective Therapeutics (CATX) posted Total Liabilities of $68.16 million for Q2 2026, up 51.4% from $45.03 million a year earlier and up 7.6% from the prior quarter.
Perspective Therapeutics (CATX) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Perspective Therapeutics' Total Liabilities came in at $59.94 million, up 18.9% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 82.3% (FY2020 to FY2025).
- In prior years, Perspective Therapeutics' Total Liabilities was $50.43 million in FY2024 (+122.1%), $22.71 million in FY2023 (+558.5%), $3.45 million in FY2022 and $3.01 million in FY2021 (+1.1%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 80.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 558.5%; the weakest was Q3 2025, with a decline of 16.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $63.33 million (Q1 2026), $59.94 million (Q4 2025) and $52.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Perspective Therapeutics | 298.91 Mn | 298.91 Mn | - | 68.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.16 Mn |
| Mar 31, 2026 | 63.33 Mn |
| Dec 31, 2025 | 59.94 Mn |
| Sep 30, 2025 | 52.61 Mn |
| Jun 30, 2025 | 45.03 Mn |
| Mar 31, 2025 | 44.70 Mn |
| Dec 31, 2024 | 50.43 Mn |
| Sep 30, 2024 | 62.68 Mn |
| Jun 30, 2024 | 44.92 Mn |
| Mar 31, 2024 | 48.40 Mn |
| Dec 31, 2023 | 22.71 Mn |
| Sep 30, 2023 | 11.75 Mn |
| Jun 30, 2023 | 11.49 Mn |
| Mar 31, 2023 | 9.62 Mn |
| Dec 31, 2022 | 3.45 Mn |
| Sep 30, 2022 | 4.84 Mn |
| Jun 30, 2022 | 3.16 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 2.86 Mn |
| Sep 30, 2021 | 2.95 Mn |
Perspective Therapeutics Total 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-liabilities&ticker=CATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CATX", "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-liabilities&ticker=CATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();