Verastem (VSTM) Inventory (2018 - 2026)
Verastem (VSTM) posted Inventory of $2.4 million for Q2 2026, up 105.1% from $1.17 million a year earlier and up 4.8% from the prior quarter.
Analysis
Verastem (VSTM) Inventory (2018 - 2026) Analysis & Trends
At the end of FY2025, Verastem's Inventory came in at $1.83 million.
- The Q2 2026 figure stands as the highest quarterly Inventory since Q2 2020.
- According to Business Quant data, Inventory for the three prior quarters was $2.29 million (Q1 2026), $1.83 million (Q4 2025) and $1.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Verastem | 703.05 Mn | 59.67 Mn | 36.32 Mn | 2.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.40 Mn |
| Mar 31, 2026 | 2.29 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.79 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Jun 30, 2020 | 6.32 Mn |
| Mar 31, 2020 | 4.37 Mn |
| Dec 31, 2019 | 3.10 Mn |
| Sep 30, 2019 | 478,000.00 |
| Jun 30, 2019 | 294,000.00 |
| Mar 31, 2019 | 306,000.00 |
| Dec 31, 2018 | 327,000.00 |
| Sep 30, 2018 | 131,000.00 |
API Access
Verastem Inventory 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=inventory&ticker=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();