Summit Therapeutics (SMMT) Total Non-Current Liabilities (2014 - 2026)
Summit Therapeutics (SMMT) posted Total Non-Current Liabilities of $126.36 million for Q3 2026, up 86.8% from $67.64 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Summit Therapeutics (SMMT) Total Non-Current Liabilities (2014 - 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 Q3 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 five quarters, with growth averaging 32.5% 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 $120.4 million (Q2 2026), $100.13 million (Q1 2026) and $90.49 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Summit Therapeutics | 14.26 Bn | 11.63 Bn | - | 126.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.36 Mn |
| 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 |
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();