Summit Therapeutics (SMMT) Total Current Liabilities (2018 - 2026)
Summit Therapeutics' Total Current Liabilities came in at $103.57 million for Q2 2026, up 71.7% from $60.33 million a year earlier and up 24.4% from the prior quarter.
Summit Therapeutics (SMMT) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Summit Therapeutics' Total Current Liabilities was $72.99 million, up 74.9% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $41.73 million in FY2024 (+104.5%), $20.41 million in FY2023 (-47.4%), $38.78 million in FY2022 (+51.4%) and $25.62 million in FY2021 (+28.8%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q2 2024.
- Year-over-year, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 42.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2023 (growth of 581.8%), and the weakest in Q1 2022 (a decline of 68.9%).
- Business Quant data shows SMMT's Total Current Liabilities at $83.27 million (Q1 2026), $72.99 million (Q4 2025) and $64.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Summit Therapeutics | 12.28 Bn | 10.04 Bn | - | 103.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.57 Mn |
| Mar 31, 2026 | 83.27 Mn |
| Dec 31, 2025 | 72.99 Mn |
| Sep 30, 2025 | 64.93 Mn |
| Jun 30, 2025 | 60.33 Mn |
| Mar 31, 2025 | 34.88 Mn |
| Dec 31, 2024 | 41.73 Mn |
| Sep 30, 2024 | 59.01 Mn |
| Jun 30, 2024 | 140.17 Mn |
| Mar 31, 2024 | 23.44 Mn |
| Dec 31, 2023 | 20.41 Mn |
| Sep 30, 2023 | 113.74 Mn |
| Jun 30, 2023 | 11.93 Mn |
| Mar 31, 2023 | 17.44 Mn |
| Dec 31, 2022 | 38.78 Mn |
| Sep 30, 2022 | 16.68 Mn |
| Jun 30, 2022 | 15.17 Mn |
| Mar 31, 2022 | 22.72 Mn |
| Dec 31, 2021 | 25.62 Mn |
| Sep 30, 2021 | 22.79 Mn |
Summit Therapeutics 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=SMMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SMMT", "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=SMMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();