NovoCure (NVCR) Total Liabilities (2014 - 2026)
NovoCure's Total Liabilities was $457.1 million in Q2 2026, down 49.0% from $896.43 million a year earlier and unchanged from the prior quarter.
NovoCure (NVCR) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at NovoCure came in at $463.86 million, down 47.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $880.61 million in FY2024 (+12.4%), $783.63 million in FY2023 (+4.4%), $750.48 million in FY2022 (+2.9%) and $729 million in FY2021 (+26.7%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2020.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 9.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 470.3%); the worst was Q2 2026 (a decline of 49.0%).
- Per Business Quant data, NVCR's Total Liabilities in the three quarters before Q2 2026 was $457.21 million (Q1 2026), $463.86 million (Q4 2025) and $1.02 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | NovoCure | 1.86 Bn | -491.82 Mn | 142.48 Mn | 457.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 457.10 Mn |
| Mar 31, 2026 | 457.21 Mn |
| Dec 31, 2025 | 463.86 Mn |
| Sep 30, 2025 | 1.02 Bn |
| Jun 30, 2025 | 896.43 Mn |
| Mar 31, 2025 | 886.85 Mn |
| Dec 31, 2024 | 880.61 Mn |
| Sep 30, 2024 | 861.21 Mn |
| Jun 30, 2024 | 850.42 Mn |
| Mar 31, 2024 | 762.07 Mn |
| Dec 31, 2023 | 783.63 Mn |
| Sep 30, 2023 | 752.65 Mn |
| Jun 30, 2023 | 743.33 Mn |
| Mar 31, 2023 | 742.19 Mn |
| Dec 31, 2022 | 750.48 Mn |
| Sep 30, 2022 | 728.81 Mn |
| Jun 30, 2022 | 721.00 Mn |
| Mar 31, 2022 | 714.33 Mn |
| Dec 31, 2021 | 729.00 Mn |
| Sep 30, 2021 | 707.29 Mn |
NovoCure Total 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-liabilities&ticker=NVCR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NVCR", "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-liabilities&ticker=NVCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();