Verastem (VSTM) Operating Expenses (2011 - 2026)
Verastem (VSTM) posted Operating Expenses of $72.79 million for Q2 2026, up 58.6% from $45.9 million a year earlier and up 14.5% from the prior quarter.
Verastem (VSTM) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Verastem was $247.32 million, up 55.8% year-over-year; for FY2025, it was $201.04 million, up 60.9% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In prior years, Verastem's Operating Expenses was $124.96 million in FY2024 (+35.7%), $92.08 million in FY2023 (+21.9%), $75.53 million in FY2022 (+19.0%) and $63.46 million in FY2021 (-54.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last 12 quarters, with growth averaging 53.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 86.8%; the weakest was Q3 2021, with a decline of 76.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $63.57 million (Q1 2026), $59.01 million (Q4 2025) and $51.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Verastem | 703.05 Mn | 59.67 Mn | 36.32 Mn | 72.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.79 Mn |
| Mar 31, 2026 | 63.57 Mn |
| Dec 31, 2025 | 59.01 Mn |
| Sep 30, 2025 | 51.96 Mn |
| Jun 30, 2025 | 45.90 Mn |
| Mar 31, 2025 | 44.17 Mn |
| Dec 31, 2024 | 31.59 Mn |
| Sep 30, 2024 | 37.03 Mn |
| Jun 30, 2024 | 28.28 Mn |
| Mar 31, 2024 | 28.06 Mn |
| Dec 31, 2023 | 31.14 Mn |
| Sep 30, 2023 | 21.31 Mn |
| Jun 30, 2023 | 20.29 Mn |
| Mar 31, 2023 | 19.34 Mn |
| Dec 31, 2022 | 16.85 Mn |
| Sep 30, 2022 | 17.71 Mn |
| Jun 30, 2022 | 21.40 Mn |
| Mar 31, 2022 | 19.58 Mn |
| Dec 31, 2021 | 17.06 Mn |
| Sep 30, 2021 | 14.85 Mn |
Verastem Operating Expenses 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=operating-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();