Puma Biotechnology (PBYI) Other Non-Current Liabilities (2011 - 2025)
Puma Biotechnology (PBYI) posted Other Non-Current Liabilities of $230,000 for Q2 2025, down 94.2% from $3.98 million a year earlier and down 87.0% from the prior quarter.
Puma Biotechnology (PBYI) Other Non-Current Liabilities (2011 - 2025) Analysis & Trends
At the end of FY2024, Puma Biotechnology's Other Non-Current Liabilities came in at $1.76 million, down 63.9% from FY2023.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -27.8% (FY2019 to FY2024).
- In prior years, Puma Biotechnology's Other Non-Current Liabilities was $4.89 million in FY2023 (-33.8%), $7.39 million in FY2022 (+35.3%), $5.46 million in FY2021 (-79.0%) and $25.96 million in FY2020 (+188.5%).
- The Q2 2025 figure stands as the lowest quarterly Other Non-Current Liabilities in data going back to Q4 2011.
- On a year-over-year basis, Other Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 45.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2020, with growth of 188.5%; the weakest was Q2 2025, with a decline of 94.2%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $1.76 million (Q1 2025), $1.76 million (Q4 2024) and $3.42 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Puma Biotechnology | 507.45 Mn | 120.09 Mn | 44.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 230,000.00 |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 3.98 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 4.89 Mn |
| Sep 30, 2023 | 7.74 Mn |
| Jun 30, 2023 | 7.57 Mn |
| Mar 31, 2023 | 7.48 Mn |
| Dec 31, 2022 | 7.39 Mn |
| Sep 30, 2022 | 5.67 Mn |
| Jun 30, 2022 | 5.38 Mn |
| Mar 31, 2022 | 5.60 Mn |
| Dec 31, 2021 | 5.46 Mn |
| Sep 30, 2021 | 6.02 Mn |
| Jun 30, 2021 | 4.92 Mn |
| Mar 31, 2021 | 5.62 Mn |
| Dec 31, 2020 | 25.96 Mn |
| Sep 30, 2020 | 25.49 Mn |
Puma Biotechnology Other 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=other-non-current-liabilities&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();