Intuitive Surgical (ISRG) EBITDA (2009 - 2026)
Intuitive Surgical's EBITDA came in at $789.7 million for Q3 2026, down 15.0% from $929.3 million a year earlier and down 33.5% from the prior quarter.
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Analysis
Intuitive Surgical (ISRG) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Intuitive Surgical reported EBITDA of $4.09 billion, up 17.5% year-over-year; for FY2025, it was $3.62 billion, up 25.5% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $2.89 billion in FY2024 (+28.0%), $2.25 billion in FY2023 (+14.5%), $1.97 billion in FY2022 (-8.5%) and $2.15 billion in FY2021 (+60.3%).
- The Q3 2026 figure represents the lowest quarterly EBITDA since Q1 2025.
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 26.6%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2024 (growth of 47.2%), and the weakest in Q2 2022 (a decline of 17.1%).
- Business Quant data shows ISRG's EBITDA at $1.19 billion (Q2 2026), $1.06 billion (Q1 2026) and $1.06 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 49.06 Bn | 41.94 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 789.70 Mn |
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 929.30 Mn |
| Jun 30, 2025 | 907.80 Mn |
| Mar 31, 2025 | 736.40 Mn |
| Dec 31, 2024 | 908.00 Mn |
| Sep 30, 2024 | 702.90 Mn |
| Jun 30, 2024 | 688.20 Mn |
| Mar 31, 2024 | 587.20 Mn |
| Dec 31, 2023 | 616.80 Mn |
| Sep 30, 2023 | 582.10 Mn |
| Jun 30, 2023 | 568.00 Mn |
| Mar 31, 2023 | 487.70 Mn |
| Dec 31, 2022 | 484.60 Mn |
| Sep 30, 2022 | 495.80 Mn |
| Jun 30, 2022 | 490.60 Mn |
| Mar 31, 2022 | 498.50 Mn |
| Dec 31, 2021 | 537.80 Mn |
API Access
Intuitive Surgical EBITDA 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=ebitda&ticker=ISRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();