Verastem (VSTM) Total Liabilities (2011 - 2026)
Verastem (VSTM) recorded Total Liabilities of $156.53 million in Q2 2026, down 2.3% from $160.21 million a year earlier but up 7.2% from the prior quarter.
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Analysis
Verastem (VSTM) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Verastem reported Total Liabilities of $189.25 million, up 45.1% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 37.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $130.43 million in FY2024 (+41.2%), $92.34 million in FY2023 (+93.8%), $47.66 million in FY2022 (+125.8%) and $21.1 million in FY2021 (-46.0%).
- Quarterly Total Liabilities has ranged from $16.22 million in Q3 2021 to $192.38 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 39.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 197.3% in Q3 2022, against a decline of 81.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $146.03 million (Q1 2026), $189.25 million (Q4 2025) and $192.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Verastem | 703.05 Mn | 59.67 Mn | 36.32 Mn | 156.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.53 Mn |
| Mar 31, 2026 | 146.03 Mn |
| Dec 31, 2025 | 189.25 Mn |
| Sep 30, 2025 | 192.38 Mn |
| Jun 30, 2025 | 160.21 Mn |
| Mar 31, 2025 | 164.13 Mn |
| Dec 31, 2024 | 130.43 Mn |
| Sep 30, 2024 | 115.32 Mn |
| Jun 30, 2024 | 86.90 Mn |
| Mar 31, 2024 | 98.48 Mn |
| Dec 31, 2023 | 92.34 Mn |
| Sep 30, 2023 | 92.97 Mn |
| Jun 30, 2023 | 90.17 Mn |
| Mar 31, 2023 | 87.85 Mn |
| Dec 31, 2022 | 47.66 Mn |
| Sep 30, 2022 | 48.22 Mn |
| Jun 30, 2022 | 46.52 Mn |
| Mar 31, 2022 | 43.38 Mn |
| Dec 31, 2021 | 21.10 Mn |
| Sep 30, 2021 | 16.22 Mn |
API Access
Verastem Total Liabilities 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=total-liabilities&ticker=VSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();