Intuitive Surgical (ISRG) EBIT (2009 - 2026)
Intuitive Surgical (ISRG) recorded EBIT of $971.9 million in Q2 2026, up 30.7% from $743.4 million a year earlier and up 13.6% from the prior quarter.
Intuitive Surgical (ISRG) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Intuitive Surgical's EBIT came in at $3.45 billion as of Jun 30, 2026, up 31.0% year-over-year; for FY2025, it came in at $2.95 billion, up 25.4% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $2.35 billion in FY2024 (+32.9%), $1.77 billion in FY2023 (+12.0%), $1.58 billion in FY2022 (-13.4%) and $1.82 billion in FY2021 (+73.5%).
- The Q2 2026 figure is the highest quarterly EBIT in data going back to Q2 2009.
- On a year-over-year basis, EBIT has increased for 13 consecutive quarters, with growth averaging 33.7% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 63.7% in Q3 2021, against a decline of 22.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $855.3 million (Q1 2026), $864.3 million (Q4 2025) and $759.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 971.90 Mn |
| Mar 31, 2026 | 855.30 Mn |
| Dec 31, 2025 | 864.30 Mn |
| Sep 30, 2025 | 759.70 Mn |
| Jun 30, 2025 | 743.40 Mn |
| Mar 31, 2025 | 578.10 Mn |
| Dec 31, 2024 | 734.90 Mn |
| Sep 30, 2024 | 577.30 Mn |
| Jun 30, 2024 | 567.30 Mn |
| Mar 31, 2024 | 469.40 Mn |
| Dec 31, 2023 | 450.20 Mn |
| Sep 30, 2023 | 465.80 Mn |
| Jun 30, 2023 | 463.20 Mn |
| Mar 31, 2023 | 387.60 Mn |
| Dec 31, 2022 | 372.50 Mn |
| Sep 30, 2022 | 398.90 Mn |
| Jun 30, 2022 | 397.60 Mn |
| Mar 31, 2022 | 408.10 Mn |
| Dec 31, 2021 | 450.40 Mn |
| Sep 30, 2021 | 442.60 Mn |
Intuitive Surgical EBIT 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=ebit&ticker=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();