Summit Therapeutics (SMMT) Other Non-Current Liabilities (2019 - 2026)
Summit Therapeutics (SMMT) posted Other Non-Current Liabilities of $1.8 million for Q2 2026, down 2.0% from $1.84 million a year earlier but up 0.2% from the prior quarter.
Summit Therapeutics (SMMT) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Summit Therapeutics' Other Non-Current Liabilities came in at $1.83 million, up 12.4% from FY2024.
- Annual Other Non-Current Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Summit Therapeutics' Other Non-Current Liabilities was $1.63 million in FY2024 (+4.4%), $1.56 million in FY2023 (+9.3%), $1.43 million in FY2022 (-48.5%) and $2.78 million in FY2021 (+10.6%).
- Quarterly Other Non-Current Liabilities has run from a low of $1.43 million in Q4 2022 to a high of $3.31 million in Q1 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2024, with growth of 123.5%; the weakest was Q4 2022, with a decline of 48.5%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $1.8 million (Q1 2026), $1.83 million (Q4 2025) and $1.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Summit Therapeutics | 12.28 Bn | 10.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Mn |
| Mar 31, 2026 | 1.80 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 3.31 Mn |
| Dec 31, 2023 | 1.56 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 1.43 Mn |
| Sep 30, 2022 | 2.42 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 2.75 Mn |
| Dec 31, 2021 | 2.78 Mn |
| Sep 30, 2021 | 2.69 Mn |
Summit Therapeutics Other Non-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=other-non-current-liabilities&ticker=SMMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=SMMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();