Verastem (VSTM) Accumulated Expenses (2010 - 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 (2010 - 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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Verastem | 824.71 Mn | 172.86 Mn | 20.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.75 Mn |
| 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 |
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();