SS Innovations International (SSII) Return on Capital Employed [ROCE] (2017 - 2026)
SS Innovations International (SSII) recorded Return on Capital Employed [ROCE] of -13.71% in Q2 2026, up 9.37 percentage points from -23.07% a year earlier but down 2.86 percentage points from the prior quarter.
SS Innovations International (SSII) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, SS Innovations International reported Return on Capital Employed [ROCE] of -25.56%, up 95.93 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of +1701.24 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -121.48% in FY2024 (+66.68 pp), -188.17% in FY2023 and -1726.80% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has ranged from -1575.32% in Q4 2021 to -10.85% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for six consecutive quarters, with an average year-over-year change of +48.51 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 775.59 percentage points in Q1 2023, against a drop of 79.22 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -10.85% (Q1 2026), -18.39% (Q4 2025) and -19.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | SS Innovations International | 322.27 Mn | 245.88 Mn | 7.10 Mn | -13.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.71% |
| Mar 31, 2026 | -10.85% |
| Dec 31, 2025 | -18.39% |
| Sep 30, 2025 | -19.55% |
| Jun 30, 2025 | -23.07% |
| Mar 31, 2025 | -39.73% |
| Dec 31, 2024 | -97.95% |
| Sep 30, 2024 | -155.46% |
| Jun 30, 2024 | -136.61% |
| Mar 31, 2024 | -142.85% |
| Dec 31, 2023 | -94.91% |
| Sep 30, 2023 | -76.25% |
| Jun 30, 2023 | -827.05% |
| Mar 31, 2023 | -280.50% |
| Jun 30, 2022 | -1,549.82% |
| Mar 31, 2022 | -1,056.09% |
| Dec 31, 2021 | -1,575.32% |
| Jun 30, 2018 | -3,715.01% |
| Mar 31, 2018 | -494.64% |
| Dec 31, 2017 | -771.83% |
SS Innovations International Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();