Puma Biotechnology (PBYI) Total Current Liabilities (2011 - 2026)
Puma Biotechnology's Total Current Liabilities was $49.83 million in Q2 2026, down 37.0% from $79.1 million a year earlier and down 16.6% from the prior quarter.
Puma Biotechnology (PBYI) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Puma Biotechnology came in at $81.25 million, down 15.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $96.11 million in FY2024 (-3.3%), $99.38 million in FY2023 (+28.3%), $77.48 million in FY2022 (-29.3%) and $109.59 million in FY2021 (-4.1%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q1 2023.
- Compared with a year earlier, Total Current Liabilities has declined for seven straight quarters, with an average decline of 10.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2024 (growth of 103.8%); the worst was Q2 2022 (a decline of 58.8%).
- Per Business Quant data, PBYI's Total Current Liabilities in the three quarters before Q2 2026 was $59.74 million (Q1 2026), $81.25 million (Q4 2025) and $82.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Puma Biotechnology | 556.52 Mn | 169.15 Mn | 44.03 Mn | 49.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.83 Mn |
| Mar 31, 2026 | 59.74 Mn |
| Dec 31, 2025 | 81.25 Mn |
| Sep 30, 2025 | 82.73 Mn |
| Jun 30, 2025 | 79.10 Mn |
| Mar 31, 2025 | 86.66 Mn |
| Dec 31, 2024 | 96.11 Mn |
| Sep 30, 2024 | 110.40 Mn |
| Jun 30, 2024 | 104.30 Mn |
| Mar 31, 2024 | 98.19 Mn |
| Dec 31, 2023 | 99.38 Mn |
| Sep 30, 2023 | 67.36 Mn |
| Jun 30, 2023 | 60.29 Mn |
| Mar 31, 2023 | 48.19 Mn |
| Dec 31, 2022 | 77.48 Mn |
| Sep 30, 2022 | 59.99 Mn |
| Jun 30, 2022 | 56.83 Mn |
| Mar 31, 2022 | 74.79 Mn |
| Dec 31, 2021 | 109.59 Mn |
| Sep 30, 2021 | 116.26 Mn |
Puma Biotechnology Total 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=total-current-liabilities&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();