Precigen (PGEN) Return on Sales [ROS] (2012 - 2026)
Precigen's Return on Sales [ROS] was 41.18% in Q2 2026, up 3751.93 percentage points from -3710.75% a year earlier and up 66.96 percentage points from the prior quarter.
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Analysis
Precigen (PGEN) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Precigen's Return on Sales [ROS] was -46.08% through Jun 30, 2026, up 2353.41 percentage points year-over-year; for FY2025, it came in at -1141.13%, up 2299.10 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1031.21 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -3440.23% in FY2024 (-1837.69 pp), -1602.54% in FY2023 (-1321.12 pp), -281.42% in FY2022 (+363.07 pp) and -644.48% in FY2021 (-534.56 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q2 2012.
- Compared with a year earlier, Return on Sales [ROS] has increased for seven straight quarters, with an average year-over-year change of +1680.44 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2025 (a gain of 4774.75 percentage points); the worst was Q2 2024 (a drop of 7290.25 percentage points).
- Per Business Quant data, PGEN's Return on Sales [ROS] in the three quarters before Q2 2026 was -25.78% (Q1 2026), -474.61% (Q4 2025) and -1180.05% (Q3 2025).
Peer Set
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 | Precigen | 3.06 Bn | 3.06 Bn | 52.17 Mn | 41.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.18% |
| Mar 31, 2026 | -25.78% |
| Dec 31, 2025 | -474.61% |
| Sep 30, 2025 | -1,180.05% |
| Jun 30, 2025 | -3,710.75% |
| Mar 31, 2025 | -1,685.01% |
| Dec 31, 2024 | -2,396.30% |
| Sep 30, 2024 | -2,231.06% |
| Jun 30, 2024 | -8,485.50% |
| Mar 31, 2024 | -2,292.02% |
| Dec 31, 2023 | -2,786.97% |
| Sep 30, 2023 | -1,518.27% |
| Jun 30, 2023 | -1,195.25% |
| Mar 31, 2023 | -1,268.40% |
| Dec 31, 2022 | -1,236.36% |
| Sep 30, 2022 | -45.53% |
| Jun 30, 2022 | -830.02% |
| Mar 31, 2022 | -401.83% |
| Dec 31, 2021 | -593.70% |
| Sep 30, 2021 | -645.96% |
API Access
Precigen 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=PGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PGEN", "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=PGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();