Puma Biotechnology (PBYI) Non-Current Assets (2011 - 2026)
Puma Biotechnology's Non-Current Assets was $47.66 million in Q2 2026, down 18.3% from $58.34 million a year earlier and down 5.5% from the prior quarter.
Puma Biotechnology (PBYI) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Puma Biotechnology came in at $53.62 million, down 18.4% from FY2024.
- Non-Current Assets has now declined for three consecutive years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $65.68 million in FY2024 (-11.7%), $74.34 million in FY2023 (-15.3%), $87.78 million in FY2022 (+1.4%) and $86.56 million in FY2021 (-11.7%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q2 2017.
- Compared with a year earlier, Non-Current Assets has declined for 11 straight quarters, with an average decline of 14.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2023 (growth of 3.2%); the worst was Q1 2026 (a decline of 20.8%).
- Per Business Quant data, PBYI's Non-Current Assets in the three quarters before Q2 2026 was $50.44 million (Q1 2026), $53.62 million (Q4 2025) and $59.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Puma Biotechnology | 499.78 Mn | 112.42 Mn | 44.03 Mn | 47.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.66 Mn |
| Mar 31, 2026 | 50.44 Mn |
| Dec 31, 2025 | 53.62 Mn |
| Sep 30, 2025 | 59.28 Mn |
| Jun 30, 2025 | 58.34 Mn |
| Mar 31, 2025 | 63.67 Mn |
| Dec 31, 2024 | 65.68 Mn |
| Sep 30, 2024 | 63.90 Mn |
| Jun 30, 2024 | 67.28 Mn |
| Mar 31, 2024 | 71.12 Mn |
| Dec 31, 2023 | 74.34 Mn |
| Sep 30, 2023 | 78.25 Mn |
| Jun 30, 2023 | 81.94 Mn |
| Mar 31, 2023 | 84.50 Mn |
| Dec 31, 2022 | 87.78 Mn |
| Sep 30, 2022 | 76.42 Mn |
| Jun 30, 2022 | 79.37 Mn |
| Mar 31, 2022 | 83.12 Mn |
| Dec 31, 2021 | 86.56 Mn |
| Sep 30, 2021 | 89.36 Mn |
Puma Biotechnology Non-Current Assets 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-assets&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();