Puma Biotechnology (PBYI) Return on Sales [ROS] (2017 - 2026)
Puma Biotechnology's Return on Sales [ROS] was 13.42% in Q2 2026, up 0.77 percentage points from 12.66% a year earlier and up 21.97 percentage points from the prior quarter.
Puma Biotechnology (PBYI) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Puma Biotechnology's Return on Sales [ROS] was 13.16% through Jun 30, 2026, down 6.19 percentage points year-over-year; for FY2025, it was 16.33%, up 2.90 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +29.84 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 13.44% in FY2024 (-0.42 pp), 13.85% in FY2023 (+3.45 pp), 10.40% in FY2022 (+9.89 pp) and 0.51% in FY2021 (+14.01 pp).
- Quarterly Return on Sales [ROS] has moved between -19.36% (Q3 2021) and 27.41% (Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +2.40 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 51.42 percentage points); the worst was Q1 2022 (a drop of 22.16 percentage points).
- Per Business Quant data, PBYI's Return on Sales [ROS] in the three quarters before Q2 2026 was -8.54% (Q1 2026), 22.67% (Q4 2025) and 17.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Puma Biotechnology | 485.99 Mn | 98.62 Mn | 44.03 Mn | 13.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.42% |
| Mar 31, 2026 | -8.54% |
| Dec 31, 2025 | 22.67% |
| Sep 30, 2025 | 17.57% |
| Jun 30, 2025 | 12.66% |
| Mar 31, 2025 | 8.66% |
| Dec 31, 2024 | 22.62% |
| Sep 30, 2024 | 27.41% |
| Jun 30, 2024 | -4.63% |
| Mar 31, 2024 | -5.25% |
| Dec 31, 2023 | 20.50% |
| Sep 30, 2023 | 15.30% |
| Jun 30, 2023 | 8.96% |
| Mar 31, 2023 | 8.27% |
| Dec 31, 2022 | 15.25% |
| Sep 30, 2022 | 4.19% |
| Jun 30, 2022 | 20.26% |
| Mar 31, 2022 | -1.63% |
| Dec 31, 2021 | 12.34% |
| Sep 30, 2021 | -19.36% |
Puma Biotechnology Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();