Verastem (VSTM) Accumulated Expenses (2011 - 2026)
Verastem's Accumulated Expenses was $54.2 million in Q2 2026, up 42.1% from $38.14 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Verastem (VSTM) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Verastem came in at $53.98 million, up 108.0% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $25.95 million in FY2024 (+44.8%), $17.93 million in FY2023 (+19.7%), $14.98 million in FY2022 (-4.1%) and $15.62 million in FY2021 (+6.6%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- Compared with a year earlier, Accumulated Expenses has increased for 12 straight quarters, with growth averaging 75.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 121.8%); the worst was Q3 2021 (a decline of 47.1%).
- Per Business Quant data, VSTM's Accumulated Expenses in the three quarters before Q2 2026 was $50.95 million (Q1 2026), $53.98 million (Q4 2025) and $44.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Verastem | 728.38 Mn | 85.01 Mn | 36.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.20 Mn |
| Mar 31, 2026 | 50.95 Mn |
| Dec 31, 2025 | 53.98 Mn |
| Sep 30, 2025 | 44.72 Mn |
| Jun 30, 2025 | 38.14 Mn |
| Mar 31, 2025 | 25.39 Mn |
| Dec 31, 2024 | 25.95 Mn |
| Sep 30, 2024 | 22.15 Mn |
| Jun 30, 2024 | 17.20 Mn |
| Mar 31, 2024 | 17.38 Mn |
| Dec 31, 2023 | 17.93 Mn |
| Sep 30, 2023 | 16.31 Mn |
| Jun 30, 2023 | 13.76 Mn |
| Mar 31, 2023 | 13.94 Mn |
| Dec 31, 2022 | 14.98 Mn |
| Sep 30, 2022 | 14.79 Mn |
| Jun 30, 2022 | 17.66 Mn |
| Mar 31, 2022 | 13.29 Mn |
| Dec 31, 2021 | 15.62 Mn |
| Sep 30, 2021 | 12.26 Mn |
API Access
Verastem Accumulated 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=accumulated-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();