NovoCure (NVCR) Operating Expenses (2014 - 2026)
NovoCure's Operating Expenses was $153.04 million in Q2 2026, down 2.4% from $156.85 million a year earlier and down 24.4% from the prior quarter.
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Analysis
NovoCure (NVCR) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, NovoCure's Operating Expenses was $686.67 million through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it came in at $642.27 million, up 0.6% from FY2024.
- Operating Expenses has now increased for 12 consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $638.54 million in FY2024 (+4.0%), $613.93 million in FY2023 (+19.8%), $512.5 million in FY2022 (+10.3%) and $464.49 million in FY2021 (+29.9%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2024.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2023 (growth of 38.1%); the worst was Q4 2025 (a decline of 9.7%).
- Per Business Quant data, NVCR's Operating Expenses in the three quarters before Q2 2026 was $202.55 million (Q1 2026), $172.59 million (Q4 2025) and $158.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | NovoCure | 1.86 Bn | -491.82 Mn | 142.48 Mn | 153.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.04 Mn |
| Mar 31, 2026 | 202.55 Mn |
| Dec 31, 2025 | 172.59 Mn |
| Sep 30, 2025 | 158.50 Mn |
| Jun 30, 2025 | 156.85 Mn |
| Mar 31, 2025 | 154.34 Mn |
| Dec 31, 2024 | 191.10 Mn |
| Sep 30, 2024 | 151.82 Mn |
| Jun 30, 2024 | 149.28 Mn |
| Mar 31, 2024 | 146.33 Mn |
| Dec 31, 2023 | 152.94 Mn |
| Sep 30, 2023 | 153.47 Mn |
| Jun 30, 2023 | 154.69 Mn |
| Mar 31, 2023 | 152.82 Mn |
| Dec 31, 2022 | 142.52 Mn |
| Sep 30, 2022 | 125.86 Mn |
| Jun 30, 2022 | 133.49 Mn |
| Mar 31, 2022 | 110.63 Mn |
| Dec 31, 2021 | 126.92 Mn |
| Sep 30, 2021 | 111.95 Mn |
API Access
NovoCure Operating Expenses 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=operating-expenses&ticker=NVCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NVCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();