Puma Biotechnology (PBYI) Total Liabilities (2011 - 2026)
Puma Biotechnology's Total Liabilities came in at $54.19 million for Q2 2026, down 39.9% from $90.2 million a year earlier and down 15.7% from the prior quarter.
Powered by 
Analysis
Puma Biotechnology (PBYI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Puma Biotechnology's Total Liabilities was $85.96 million, down 29.1% from FY2024.
- Total Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $121.21 million in FY2024 (-31.6%), $177.09 million in FY2023 (-11.7%), $200.45 million in FY2022 (-12.5%) and $229.03 million in FY2021 (-8.5%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2017.
- Year-over-year, Total Liabilities has declined for 21 consecutive quarters, with an average decline of 33.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 2.2% in Q2 2023 to 42.4% in Q2 2025.
- Business Quant data shows PBYI's Total Liabilities at $64.28 million (Q1 2026), $85.96 million (Q4 2025) and $87.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Puma Biotechnology | 499.78 Mn | 112.42 Mn | 44.03 Mn | 54.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.19 Mn |
| Mar 31, 2026 | 64.28 Mn |
| Dec 31, 2025 | 85.96 Mn |
| Sep 30, 2025 | 87.59 Mn |
| Jun 30, 2025 | 90.20 Mn |
| Mar 31, 2025 | 99.07 Mn |
| Dec 31, 2024 | 121.21 Mn |
| Sep 30, 2024 | 149.63 Mn |
| Jun 30, 2024 | 156.49 Mn |
| Mar 31, 2024 | 163.17 Mn |
| Dec 31, 2023 | 177.09 Mn |
| Sep 30, 2023 | 164.86 Mn |
| Jun 30, 2023 | 170.10 Mn |
| Mar 31, 2023 | 170.41 Mn |
| Dec 31, 2022 | 200.45 Mn |
| Sep 30, 2022 | 176.62 Mn |
| Jun 30, 2022 | 173.91 Mn |
| Mar 31, 2022 | 193.54 Mn |
| Dec 31, 2021 | 229.03 Mn |
| Sep 30, 2021 | 237.21 Mn |
API Access
Puma Biotechnology 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=PBYI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PBYI", "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=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();