Puma Biotechnology (PBYI) Total Non-Current Liabilities (2011 - 2025)
Puma Biotechnology (PBYI) posted Total Non-Current Liabilities of $85.96 million for Q4 2025, down 28.0% from $119.45 million a year earlier and down 1.9% from the prior quarter.
Puma Biotechnology (PBYI) Total Non-Current Liabilities (2011 - 2025) Analysis & Trends
Since Q4 2011, Puma Biotechnology has reported Total Non-Current Liabilities for 57 quarters.
- Annual Total Non-Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- In prior years, Puma Biotechnology's Total Non-Current Liabilities was $119.45 million in FY2024 (-30.6%), $172.2 million in FY2023 (-10.8%), $193.06 million in FY2022 (-13.6%) and $223.57 million in FY2021 (-0.3%).
- The Q4 2025 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2017.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 19 quarters, with an average decline of 24.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2021, with growth of 13.7%; the weakest was Q2 2025, with a decline of 41.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $87.59 million (Q3 2025), $89.97 million (Q2 2025) and $97.31 million (Q1 2025).
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 | Puma Biotechnology | 507.45 Mn | 120.09 Mn | 44.03 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 85.96 Mn |
| Sep 30, 2025 | 87.59 Mn |
| Jun 30, 2025 | 89.97 Mn |
| Mar 31, 2025 | 97.31 Mn |
| Dec 31, 2024 | 119.45 Mn |
| Sep 30, 2024 | 146.21 Mn |
| Jun 30, 2024 | 152.52 Mn |
| Mar 31, 2024 | 158.74 Mn |
| Dec 31, 2023 | 172.20 Mn |
| Sep 30, 2023 | 157.12 Mn |
| Jun 30, 2023 | 162.53 Mn |
| Mar 31, 2023 | 162.93 Mn |
| Dec 31, 2022 | 193.06 Mn |
| Sep 30, 2022 | 170.94 Mn |
| Jun 30, 2022 | 168.54 Mn |
| Mar 31, 2022 | 187.94 Mn |
| Dec 31, 2021 | 223.57 Mn |
| Sep 30, 2021 | 231.19 Mn |
| Jun 30, 2021 | 225.61 Mn |
| Mar 31, 2021 | 236.70 Mn |
Puma Biotechnology 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=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();