Actinium Pharmaceuticals (ATNM) Total Liabilities (2009 - 2026)
Actinium Pharmaceuticals' Total Liabilities was $9.86 million in Q2 2026, down 77.6% from $44 million a year earlier and down 77.2% from the prior quarter.
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Analysis
Actinium Pharmaceuticals (ATNM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Actinium Pharmaceuticals came in at $43.94 million, down 0.5% from FY2024.
- Total Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 54.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $44.14 million in FY2024 (-2.1%), $45.07 million in FY2023 (-5.5%), $47.71 million in FY2022 (+597.2%) and $6.84 million in FY2021 (+34.8%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2022.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 11.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 986.3%); the worst was Q2 2026 (a decline of 77.6%).
- Per Business Quant data, ATNM's Total Liabilities in the three quarters before Q2 2026 was $43.13 million (Q1 2026), $43.94 million (Q4 2025) and $42.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Actinium Pharmaceuticals | 49.05 Mn | -130.95 Mn | - | 9.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.86 Mn |
| Mar 31, 2026 | 43.13 Mn |
| Dec 31, 2025 | 43.94 Mn |
| Sep 30, 2025 | 42.37 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 42.95 Mn |
| Dec 31, 2024 | 44.14 Mn |
| Sep 30, 2024 | 43.91 Mn |
| Jun 30, 2024 | 46.03 Mn |
| Mar 31, 2024 | 44.50 Mn |
| Dec 31, 2023 | 45.07 Mn |
| Sep 30, 2023 | 45.36 Mn |
| Jun 30, 2023 | 45.97 Mn |
| Mar 31, 2023 | 44.82 Mn |
| Dec 31, 2022 | 47.71 Mn |
| Sep 30, 2022 | 45.56 Mn |
| Jun 30, 2022 | 43.62 Mn |
| Mar 31, 2022 | 5.73 Mn |
| Dec 31, 2021 | 6.84 Mn |
| Sep 30, 2021 | 4.19 Mn |
API Access
Actinium Pharmaceuticals 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=ATNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ATNM", "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=ATNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();