SS Innovations International (SSII) EBITDA Margin (2022 - 2026)
SS Innovations International (SSII) posted EBITDA Margin of -13.81% for Q2 2026, down 17.38 percentage points from 3.57% a year earlier but up 16.05 percentage points from the prior quarter.
SS Innovations International (SSII) EBITDA Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at SS Innovations International was -13.75%, up 22.94 percentage points year-over-year; for FY2025, it was -16.75%, up 73.03 percentage points from FY2024.
- Annual EBITDA Margin shows a three-year change of +182.53 percentage points (FY2022 to FY2025).
- In prior years, SS Innovations International's EBITDA Margin was -89.78% in FY2024 (+252.69 pp), -342.47% in FY2023 (-143.19 pp) and -199.28% in FY2022.
- Quarterly EBITDA Margin has run from a low of -849.22% in Q4 2023 to a high of 3.57% in Q2 2025 over five years.
- On a year-over-year basis, EBITDA Margin increased in seven of the last eight quarters, with an average year-over-year change of +153.82 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2024, with a gain of 828.36 percentage points; the weakest was Q4 2023, with a drop of 755.24 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -29.86% (Q1 2026), -2.93% (Q4 2025) and -11.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 24.62% |
| 10 | SS Innovations International | 578.49 Mn | 539.97 Mn | 7.10 Mn | -13.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.81% |
| Mar 31, 2026 | -29.86% |
| Dec 31, 2025 | -2.93% |
| Sep 30, 2025 | -11.99% |
| Jun 30, 2025 | 3.57% |
| Mar 31, 2025 | -111.57% |
| Dec 31, 2024 | -20.86% |
| Sep 30, 2024 | -70.34% |
| Jun 30, 2024 | -88.92% |
| Mar 31, 2024 | -268.09% |
| Dec 31, 2023 | -849.22% |
| Sep 30, 2023 | -82.92% |
| Jun 30, 2023 | -272.58% |
| Mar 31, 2023 | -280.46% |
| Dec 31, 2022 | -93.98% |
| Sep 30, 2022 | -75.69% |
SS Innovations International EBITDA Margin 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-margin&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SSII", "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-margin&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();