Summit Therapeutics (SMMT) Total Non-Current Liabilities (2018 - 2026)
Summit Therapeutics (SMMT) posted Total Non-Current Liabilities of $120.4 million for Q2 2026, up 91.8% from $62.76 million a year earlier and up 20.2% from the prior quarter.
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Analysis
Summit Therapeutics (SMMT) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Summit Therapeutics' Total Non-Current Liabilities came in at $90.49 million, up 100.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- In prior years, Summit Therapeutics' Total Non-Current Liabilities was $45.18 million in FY2024 (-63.5%), $123.7 million in FY2023 (-76.9%), $536.09 million in FY2022 and $27.31 million in FY2021 (+33.0%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 15.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2023, with growth of 498.4%; the weakest was Q4 2023, with a decline of 76.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $100.13 million (Q1 2026), $90.49 million (Q4 2025) and $67.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Summit Therapeutics | 12.28 Bn | 10.04 Bn | - | 120.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.40 Mn |
| Mar 31, 2026 | 100.13 Mn |
| Dec 31, 2025 | 90.49 Mn |
| Sep 30, 2025 | 67.64 Mn |
| Jun 30, 2025 | 62.76 Mn |
| Mar 31, 2025 | 37.78 Mn |
| Dec 31, 2024 | 45.18 Mn |
| Sep 30, 2024 | 63.22 Mn |
| Jun 30, 2024 | 145.19 Mn |
| Mar 31, 2024 | 129.26 Mn |
| Dec 31, 2023 | 123.70 Mn |
| Sep 30, 2023 | 117.62 Mn |
| Jun 30, 2023 | 116.26 Mn |
| Mar 31, 2023 | 119.93 Mn |
| Dec 31, 2022 | 536.09 Mn |
| Sep 30, 2022 | 19.66 Mn |
| Jun 30, 2022 | 41.81 Mn |
| Mar 31, 2022 | 49.31 Mn |
| Dec 31, 2021 | 27.31 Mn |
| Sep 30, 2021 | 23.69 Mn |
API Access
Summit Therapeutics Total 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=total-non-current-liabilities&ticker=SMMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=SMMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();