Puma Biotechnology (PBYI) Other Non-Current Liabilities (2011 - 2026)
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 - 2026) 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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Puma Biotechnology | 420.82 Mn | 19.27 Mn | 39.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 683,000.00 |
| Jun 30, 2026 | 1.14 Mn |
| Mar 31, 2026 | 1.68 Mn |
| Jun 30, 2025 | 230,000.00 |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 1.88 Mn |
| Sep 30, 2024 | 3.54 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 5.01 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 |
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();