Puma Biotechnology (PBYI) Receivables (2016 - 2026)
Puma Biotechnology's Receivables was $34.06 million in Q2 2026, up 31.5% from $25.91 million a year earlier and up 29.4% from the prior quarter.
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Analysis
Puma Biotechnology (PBYI) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Puma Biotechnology came in at $53.65 million, up 67.6% from FY2024.
- Receivables shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In earlier years, Receivables was $32.01 million in FY2024 (-33.1%), $47.84 million in FY2023 (+18.6%), $40.35 million in FY2022 (+24.1%) and $32.53 million in FY2021 (+27.3%).
- Quarterly Receivables has moved between $23.8 million (Q3 2021) and $54.64 million (Q3 2024) over five years.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 14.4% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2024 (growth of 88.6%); the worst was Q3 2025 (a decline of 38.6%).
- Per Business Quant data, PBYI's Receivables in the three quarters before Q2 2026 was $26.33 million (Q1 2026), $53.65 million (Q4 2025) and $33.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 14.33 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Puma Biotechnology | 429.94 Mn | 42.58 Mn | 44.03 Mn | 34.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.06 Mn |
| Mar 31, 2026 | 26.33 Mn |
| Dec 31, 2025 | 53.65 Mn |
| Sep 30, 2025 | 33.57 Mn |
| Jun 30, 2025 | 25.91 Mn |
| Mar 31, 2025 | 25.17 Mn |
| Dec 31, 2024 | 32.01 Mn |
| Sep 30, 2024 | 54.64 Mn |
| Jun 30, 2024 | 28.11 Mn |
| Mar 31, 2024 | 24.58 Mn |
| Dec 31, 2023 | 47.84 Mn |
| Sep 30, 2023 | 28.97 Mn |
| Jun 30, 2023 | 31.29 Mn |
| Mar 31, 2023 | 31.16 Mn |
| Dec 31, 2022 | 40.35 Mn |
| Sep 30, 2022 | 28.03 Mn |
| Jun 30, 2022 | 33.99 Mn |
| Mar 31, 2022 | 27.04 Mn |
| Dec 31, 2021 | 32.53 Mn |
| Sep 30, 2021 | 23.80 Mn |
API Access
Puma Biotechnology Receivables 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=receivables&ticker=PBYI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();