Puma Biotechnology (PBYI) Cash & Equivalents (2009 - 2026)
Puma Biotechnology's Cash & Equivalents came in at $36.54 million for Q2 2026, down 33.2% from $54.66 million a year earlier but up 1.0% from the prior quarter.
Puma Biotechnology (PBYI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Puma Biotechnology's Cash & Equivalents was $29.64 million, down 57.2% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $69.22 million in FY2024 (-18.2%), $84.59 million in FY2023 (+11.0%), $76.2 million in FY2022 (+20.7%) and $63.13 million in FY2021 (-26.0%).
- The five-year range for quarterly Cash & Equivalents is $29.64 million (Q4 2025) to $84.59 million (Q4 2023).
- Year-over-year, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 28.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2024 (growth of 25.0%), and the weakest in Q4 2025 (a decline of 57.2%).
- Business Quant data shows PBYI's Cash & Equivalents at $36.19 million (Q1 2026), $29.64 million (Q4 2025) and $53.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Puma Biotechnology | 420.82 Mn | 19.27 Mn | 39.86 Mn | 41.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.55 Mn |
| Jun 30, 2026 | 36.54 Mn |
| Mar 31, 2026 | 36.19 Mn |
| Dec 31, 2025 | 29.64 Mn |
| Sep 30, 2025 | 53.53 Mn |
| Jun 30, 2025 | 54.66 Mn |
| Mar 31, 2025 | 63.03 Mn |
| Dec 31, 2024 | 69.22 Mn |
| Sep 30, 2024 | 67.26 Mn |
| Jun 30, 2024 | 67.15 Mn |
| Mar 31, 2024 | 76.75 Mn |
| Dec 31, 2023 | 84.59 Mn |
| Sep 30, 2023 | 81.80 Mn |
| Jun 30, 2023 | 60.01 Mn |
| Mar 31, 2023 | 61.39 Mn |
| Dec 31, 2022 | 76.20 Mn |
| Sep 30, 2022 | 77.96 Mn |
| Jun 30, 2022 | 52.76 Mn |
| Mar 31, 2022 | 63.91 Mn |
| Dec 31, 2021 | 63.13 Mn |
Puma Biotechnology Cash & Equivalents 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=cash-and-equivalents&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();