SS Innovations International (SSII) Total Non-Current Liabilities (2020 - 2026)
SS Innovations International (SSII) posted Total Non-Current Liabilities of $43.14 million for Q2 2026, up 54.9% from $27.84 million a year earlier and up 21.1% from the prior quarter.
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Analysis
SS Innovations International (SSII) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SS Innovations International's Total Non-Current Liabilities came in at $35.72 million, up 370.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 166.2% (FY2022 to FY2025).
- In prior years, SS Innovations International's Total Non-Current Liabilities was $7.6 million in FY2024 (+128.6%), $3.32 million in FY2023 (+75.6%) and $1.89 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2020.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last nine quarters, with growth averaging 220.4% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 45.9% (Q1 2025) and 370.6% (Q2 2025) over the last five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $35.63 million (Q1 2026), $35.72 million (Q4 2025) and $29.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | SS Innovations International | 596.50 Mn | 557.99 Mn | 7.10 Mn | 43.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.14 Mn |
| Mar 31, 2026 | 35.63 Mn |
| Dec 31, 2025 | 35.72 Mn |
| Sep 30, 2025 | 29.69 Mn |
| Jun 30, 2025 | 27.84 Mn |
| Mar 31, 2025 | 7.91 Mn |
| Dec 31, 2024 | 7.60 Mn |
| Sep 30, 2024 | 6.83 Mn |
| Jun 30, 2024 | 5.92 Mn |
| Mar 31, 2024 | 5.42 Mn |
| Dec 31, 2023 | 3.32 Mn |
| Sep 30, 2023 | 3.29 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2020 | 4,630.00 |
| Jun 30, 2020 | 4,630.00 |
API Access
SS Innovations International Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SSII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();