Puma Biotechnology (PBYI) Tax Provisions (2020 - 2026)
Puma Biotechnology's Tax Provisions was $291,000 in Q3 2024, up 36.6% from $213,000 a year earlier but down 23.0% from the prior quarter.
Puma Biotechnology (PBYI) Tax Provisions (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Puma Biotechnology's Tax Provisions was $1.43 million through Sep 30, 2024, up 69.4% year-over-year; for FY2023, it came in at $1.08 million, up 138.0% from FY2022.
- Tax Provisions has now increased for five consecutive years, with a five-year compound annual growth rate of 129.5% (FY2018 to FY2023).
- In earlier years, Tax Provisions was $455,000 in FY2022 (+40.4%), $324,000 in FY2021 (+56.5%), $207,000 in FY2020 (+290.6%) and $53,000 in FY2019 (+211.8%).
- Quarterly Tax Provisions has moved between $37,000 (Q3 2021) and $536,000 (Q4 2023) over five years.
- Compared with a year earlier, Tax Provisions has increased for ten straight quarters, with growth averaging 131.6% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2023 (growth of 297.3%); the worst was Q1 2022 (a decline of 2.6%).
- Per Business Quant data, PBYI's Tax Provisions in the three quarters before Q3 2024 was $378,000 (Q2 2024), $220,000 (Q1 2024) and $536,000 (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 1.96 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 609.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 492.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -842.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 822.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 634.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 134.00 Mn |
| 10 | Puma Biotechnology | 420.82 Mn | 19.27 Mn | 39.86 Mn | -216,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -216,000.00 |
| Jun 30, 2026 | -56,000.00 |
| Mar 31, 2026 | -326,000.00 |
| Dec 31, 2025 | -424,000.00 |
| Sep 30, 2025 | -399,000.00 |
| Jun 30, 2025 | -310,000.00 |
| Mar 31, 2025 | -293,000.00 |
| Dec 31, 2024 | -1.79 Mn |
| Sep 30, 2024 | 291,000.00 |
| Jun 30, 2024 | 378,000.00 |
| Mar 31, 2024 | 220,000.00 |
| Dec 31, 2023 | 536,000.00 |
| Sep 30, 2023 | 213,000.00 |
| Jun 30, 2023 | 187,000.00 |
| Mar 31, 2023 | 147,000.00 |
| Dec 31, 2022 | 294,000.00 |
| Sep 30, 2022 | 67,000.00 |
| Jun 30, 2022 | 57,000.00 |
| Mar 31, 2022 | 37,000.00 |
| Dec 31, 2021 | 212,000.00 |
Puma Biotechnology Tax Provisions 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=tax-provisions&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();