Summit Therapeutics (SMMT) Total Debt (2021 - 2024)
Summit Therapeutics' Total Debt came in at $24.5 million for Q3 2024, down 75.5% from $100 million a year earlier and down 75.5% from the prior quarter.
Summit Therapeutics (SMMT) Total Debt (2021 - 2024) Analysis & Trends
At the end of FY2023, Summit Therapeutics' Total Debt was $100 million, down 80.6% from FY2022.
- Going back by year, Total Debt was $514.31 million in FY2022.
- The Q3 2024 figure represents the lowest quarterly Total Debt in data going back to Q1 2021.
- Year-over-year, Total Debt increased in two of the last six quarters, with growth averaging 73.0%.
- Business Quant data shows SMMT's Total Debt at $100 million (Q2 2024), $100 million (Q1 2024) and $100 million (Q4 2023) in the three quarters before Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Summit Therapeutics | 14.26 Bn | 11.63 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 24.50 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 100.00 Mn |
| Sep 30, 2023 | 100.00 Mn |
| Jun 30, 2023 | 100.00 Mn |
| Mar 31, 2023 | 100.00 Mn |
| Dec 31, 2022 | 514.31 Mn |
| Jun 30, 2022 | 25.31 Mn |
| Mar 31, 2022 | 25.06 Mn |
| Mar 31, 2021 | 54.96 Mn |
Summit Therapeutics Total Debt 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-debt&ticker=SMMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=SMMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();