Verastem (VSTM) Selling, General & Administrative (2011 - 2026)
Verastem's Selling, General & Administrative was $27.41 million in Q2 2026, up 32.6% from $20.67 million a year earlier and up 22.9% from the prior quarter.
Verastem (VSTM) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Verastem's Selling, General & Administrative was $95.16 million through Jun 30, 2026, up 62.0% year-over-year; for FY2025, it came in at $81.15 million, up 86.0% from FY2024.
- Selling, General & Administrative has now increased for four consecutive years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $43.62 million in FY2024 (+42.0%), $30.73 million in FY2023 (+23.0%), $24.98 million in FY2022 (+3.6%) and $24.12 million in FY2021 (-61.6%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2019.
- Compared with a year earlier, Selling, General & Administrative has increased for 16 straight quarters, with growth averaging 64.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 126.8%); the worst was Q3 2021 (a decline of 73.2%).
- Per Business Quant data, VSTM's Selling, General & Administrative in the three quarters before Q2 2026 was $22.3 million (Q1 2026), $24.44 million (Q4 2025) and $21.01 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 | Verastem | 696.71 Mn | 53.34 Mn | 36.32 Mn | 27.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.41 Mn |
| Mar 31, 2026 | 22.30 Mn |
| Dec 31, 2025 | 24.44 Mn |
| Sep 30, 2025 | 21.01 Mn |
| Jun 30, 2025 | 20.67 Mn |
| Mar 31, 2025 | 15.02 Mn |
| Dec 31, 2024 | 10.78 Mn |
| Sep 30, 2024 | 12.28 Mn |
| Jun 30, 2024 | 10.22 Mn |
| Mar 31, 2024 | 10.35 Mn |
| Dec 31, 2023 | 8.64 Mn |
| Sep 30, 2023 | 7.36 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 7.33 Mn |
| Dec 31, 2022 | 6.11 Mn |
| Sep 30, 2022 | 6.42 Mn |
| Jun 30, 2022 | 6.51 Mn |
| Mar 31, 2022 | 5.93 Mn |
| Dec 31, 2021 | 5.66 Mn |
| Sep 30, 2021 | 5.52 Mn |
Verastem 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=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VSTM", "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=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();