Puma Biotechnology (PBYI) Non-Current Debt (2011 - 2025)
Puma Biotechnology's Non-Current Debt was $10.87 million in Q2 2025, down 75.1% from $43.74 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Puma Biotechnology (PBYI) Non-Current Debt (2011 - 2025) Analysis & Trends
At the end of FY2024, Non-Current Debt at Puma Biotechnology came in at $21.72 million, down 66.9% from FY2023.
- Non-Current Debt shows a five-year compound annual growth rate of -25.6% (FY2019 to FY2024).
- In earlier years, Non-Current Debt was $65.66 million in FY2023 (-33.2%), $98.31 million in FY2022 (+1.3%), $97.09 million in FY2021 (+15.6%) and $84.03 million in FY2020 (-11.5%).
- Quarterly Non-Current Debt has moved between $10.65 million (Q1 2025) and $98.62 million (Q1 2023) over five years.
- Compared with a year earlier, Non-Current Debt has declined for nine straight quarters, with an average decline of 53.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q2 2022 (growth of 42.2%); the worst was Q1 2025 (a decline of 80.5%).
- Per Business Quant data, PBYI's Non-Current Debt in the three quarters before Q2 2025 was $10.65 million (Q1 2025), $21.72 million (Q4 2024) and $32.75 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 60.50 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 10.87 Mn |
| Mar 31, 2025 | 10.65 Mn |
| Dec 31, 2024 | 21.72 Mn |
| Sep 30, 2024 | 32.75 Mn |
| Jun 30, 2024 | 43.74 Mn |
| Mar 31, 2024 | 54.69 Mn |
| Dec 31, 2023 | 65.66 Mn |
| Sep 30, 2023 | 76.63 Mn |
| Jun 30, 2023 | 87.62 Mn |
| Mar 31, 2023 | 98.62 Mn |
| Dec 31, 2022 | 98.31 Mn |
| Sep 30, 2022 | 97.99 Mn |
| Jun 30, 2022 | 97.68 Mn |
| Mar 31, 2022 | 97.38 Mn |
| Dec 31, 2021 | 97.09 Mn |
| Sep 30, 2021 | 96.80 Mn |
| Jun 30, 2021 | 68.71 Mn |
| Mar 31, 2021 | 76.35 Mn |
| Dec 31, 2020 | 84.03 Mn |
| Sep 30, 2020 | 91.71 Mn |
API Access
Puma Biotechnology Non-Current Debt 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=non-current-debt&ticker=PBYI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();