Verastem (VSTM) Total Current Liabilities (2010 - 2026)
Verastem (VSTM) posted Total Current Liabilities of $78.13 million for Q2 2026, up 55.1% from $50.36 million a year earlier and up 16.9% from the prior quarter.
Verastem (VSTM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Verastem's Total Current Liabilities came in at $72.27 million, up 133.3% from FY2024.
- Annual Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 33.4% (FY2020 to FY2025).
- In prior years, Verastem's Total Current Liabilities was $30.97 million in FY2024 (+17.4%), $26.38 million in FY2023 (+21.8%), $21.66 million in FY2022 (+16.5%) and $18.59 million in FY2021 (+8.8%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2011.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 19 quarters, with growth averaging 63.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 133.3%; the weakest was Q3 2021, with a decline of 64.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $66.85 million (Q1 2026), $72.27 million (Q4 2025) and $59.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Verastem | 824.71 Mn | 172.86 Mn | 20.35 Mn | 103.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.33 Mn |
| Jun 30, 2026 | 78.13 Mn |
| Mar 31, 2026 | 66.85 Mn |
| Dec 31, 2025 | 72.27 Mn |
| Sep 30, 2025 | 59.71 Mn |
| Jun 30, 2025 | 50.36 Mn |
| Mar 31, 2025 | 35.62 Mn |
| Dec 31, 2024 | 30.97 Mn |
| Sep 30, 2024 | 37.37 Mn |
| Jun 30, 2024 | 30.35 Mn |
| Mar 31, 2024 | 26.73 Mn |
| Dec 31, 2023 | 26.38 Mn |
| Sep 30, 2023 | 23.81 Mn |
| Jun 30, 2023 | 20.79 Mn |
| Mar 31, 2023 | 22.36 Mn |
| Dec 31, 2022 | 21.66 Mn |
| Sep 30, 2022 | 21.87 Mn |
| Jun 30, 2022 | 20.09 Mn |
| Mar 31, 2022 | 16.89 Mn |
| Dec 31, 2021 | 18.59 Mn |
Verastem Total Current 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-current-liabilities&ticker=VSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();