Precigen (PGEN) Selling, General & Administrative (2012 - 2026)
Precigen (PGEN) reported Selling, General & Administrative of $22.25 million for Q2 2026, up 37.9% from $16.13 million a year earlier and up 5.7% from the prior quarter.
Precigen (PGEN) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Precigen's Selling, General & Administrative came in at $84.93 million, up 72.2% year-over-year; for FY2025, it was $70.13 million, up 69.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $41.29 million in FY2024 (+2.2%), $40.42 million in FY2023 (-15.8%), $48.01 million in FY2022 (-7.7%) and $51.99 million in FY2021 (-28.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $9.2 million in Q3 2023 and a high of $23.99 million in Q3 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last nine quarters, with growth averaging 50.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2025 (growth of 143.9%); the low point was Q3 2021 (a decline of 50.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.05 million (Q1 2026), $17.65 million (Q4 2025) and $23.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Precigen | 3.06 Bn | 3.06 Bn | 52.17 Mn | 22.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.25 Mn |
| Mar 31, 2026 | 21.05 Mn |
| Dec 31, 2025 | 17.65 Mn |
| Sep 30, 2025 | 23.99 Mn |
| Jun 30, 2025 | 16.13 Mn |
| Mar 31, 2025 | 12.36 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | 9.84 Mn |
| Jun 30, 2024 | 10.31 Mn |
| Mar 31, 2024 | 10.15 Mn |
| Dec 31, 2023 | 10.27 Mn |
| Sep 30, 2023 | 9.20 Mn |
| Jun 30, 2023 | 9.32 Mn |
| Mar 31, 2023 | 11.64 Mn |
| Dec 31, 2022 | 11.51 Mn |
| Sep 30, 2022 | 10.14 Mn |
| Jun 30, 2022 | 12.67 Mn |
| Mar 31, 2022 | 13.69 Mn |
| Dec 31, 2021 | 11.80 Mn |
| Sep 30, 2021 | 10.98 Mn |
Precigen Selling, General & Administrative 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=selling-general-and-administrative&ticker=PGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();