Puma Biotechnology (PBYI) Other Accumulated Expenses (2011 - 2026)
Puma Biotechnology (PBYI) posted Other Accumulated Expenses of $9.33 million for Q2 2026, up 5.7% from $8.83 million a year earlier and up 25.1% from the prior quarter.
Puma Biotechnology (PBYI) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Puma Biotechnology's Other Accumulated Expenses came in at $15.86 million, up 55.9% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Puma Biotechnology's Other Accumulated Expenses was $10.17 million in FY2024 (-38.4%), $16.5 million in FY2023 (+21.4%), $13.59 million in FY2022 (+53.9%) and $8.83 million in FY2021 (+2.6%).
- Quarterly Other Accumulated Expenses has run from a low of $7.45 million in Q1 2024 to a high of $19.24 million in Q3 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 10.6%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2024, with growth of 100.9%; the weakest was Q3 2025, with a decline of 53.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $7.45 million (Q1 2026), $15.86 million (Q4 2025) and $8.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Puma Biotechnology | 485.99 Mn | 98.62 Mn | 44.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.33 Mn |
| Mar 31, 2026 | 7.45 Mn |
| Dec 31, 2025 | 15.86 Mn |
| Sep 30, 2025 | 8.90 Mn |
| Jun 30, 2025 | 8.83 Mn |
| Mar 31, 2025 | 7.67 Mn |
| Dec 31, 2024 | 10.17 Mn |
| Sep 30, 2024 | 19.24 Mn |
| Jun 30, 2024 | 7.74 Mn |
| Mar 31, 2024 | 7.45 Mn |
| Dec 31, 2023 | 16.50 Mn |
| Sep 30, 2023 | 9.58 Mn |
| Jun 30, 2023 | 8.86 Mn |
| Mar 31, 2023 | 9.67 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 30, 2022 | 9.07 Mn |
| Jun 30, 2022 | 11.33 Mn |
| Mar 31, 2022 | 8.48 Mn |
| Dec 31, 2021 | 8.83 Mn |
| Sep 30, 2021 | 7.70 Mn |
Puma Biotechnology Other Accumulated Expenses 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-accumulated-expenses&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();