Verastem (VSTM) Change in Accured Expenses (2011 - 2026)
Verastem's Change in Accured Expenses was $3.2 million in Q2 2026, down 19.4% from $3.98 million a year earlier.
Verastem (VSTM) Change in Accured Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Verastem's Change in Accured Expenses was $24.33 million through Jun 30, 2026, up 58.3% year-over-year; for FY2025, it came in at $30.83 million, up 285.5% from FY2024.
- In earlier years, Change in Accured Expenses was $8 million in FY2024 (+172.3%), $2.94 million in FY2023, -$638,000 in FY2022 and $1.8 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$3.07 million (Q1 2026) and $15 million (Q3 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last five quarters, with growth averaging 105.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2023 (growth of 724.1%); the worst was Q4 2022 (a decline of 94.3%).
- Per Business Quant data, VSTM's Change in Accured Expenses in the three quarters before Q2 2026 was -$3.07 million (Q1 2026), $9.19 million (Q4 2025) and $15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Verastem | 696.71 Mn | 53.34 Mn | 36.32 Mn | 3.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Mn |
| Mar 31, 2026 | -3.07 Mn |
| Dec 31, 2025 | 9.19 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 2.66 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 4.96 Mn |
| Jun 30, 2024 | -182,000.00 |
| Mar 31, 2024 | -544,000.00 |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 2.97 Mn |
| Jun 30, 2023 | -594,000.00 |
| Mar 31, 2023 | -1.05 Mn |
| Dec 31, 2022 | 195,000.00 |
| Sep 30, 2022 | -2.87 Mn |
| Jun 30, 2022 | 4.49 Mn |
| Mar 31, 2022 | -2.45 Mn |
| Dec 31, 2021 | 3.41 Mn |
| Sep 30, 2021 | 1.49 Mn |
Verastem Change in Accured 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=change-in-accured-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();