Intuitive Surgical (ISRG) Operating Expenses (2009 - 2026)
Intuitive Surgical (ISRG) recorded Operating Expenses of $988.5 million in Q2 2026, up 13.0% from $874.5 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Intuitive Surgical (ISRG) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Intuitive Surgical's Operating Expenses came in at $3.91 billion as of Jun 30, 2026, up 13.0% year-over-year; for FY2025, it was $3.7 billion, up 12.5% from FY2024.
- Annual Operating Expenses has increased for ten straight years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $3.29 billion in FY2024 (+10.9%), $2.96 billion in FY2023 (+13.1%), $2.62 billion in FY2022 (+22.5%) and $2.14 billion in FY2021 (+18.0%).
- Quarterly Operating Expenses has ranged from $528.8 million in Q3 2021 to $1.04 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 22 consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 7.0% in Q1 2024 to 27.2% in Q4 2021.
- Per Business Quant, the preceding three quarters came in at $975.2 million (Q1 2026), $1.04 billion (Q4 2025) and $902.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 988.50 Mn |
| Mar 31, 2026 | 975.20 Mn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 902.70 Mn |
| Jun 30, 2025 | 874.50 Mn |
| Mar 31, 2025 | 879.60 Mn |
| Dec 31, 2024 | 907.30 Mn |
| Sep 30, 2024 | 796.60 Mn |
| Jun 30, 2024 | 805.40 Mn |
| Mar 31, 2024 | 776.00 Mn |
| Dec 31, 2023 | 827.20 Mn |
| Sep 30, 2023 | 701.40 Mn |
| Jun 30, 2023 | 708.70 Mn |
| Mar 31, 2023 | 725.40 Mn |
| Dec 31, 2022 | 738.40 Mn |
| Sep 30, 2022 | 653.20 Mn |
| Jun 30, 2022 | 625.70 Mn |
| Mar 31, 2022 | 601.60 Mn |
| Dec 31, 2021 | 610.40 Mn |
| Sep 30, 2021 | 528.80 Mn |
API Access
Intuitive Surgical 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=ISRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ISRG", "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=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();