SS Innovations International (SSII) Total Liabilities (2016 - 2026)
SS Innovations International (SSII) recorded Total Liabilities of $43.58 million in Q2 2026, up 55.9% from $27.95 million a year earlier and up 21.0% from the prior quarter.
SS Innovations International (SSII) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, SS Innovations International reported Total Liabilities of $36.01 million, up 24.5% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 97.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $28.93 million in FY2024 (+145.2%), $11.8 million in FY2023 (+22.1%), $9.66 million in FY2022 and -$157,004 in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 59.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 694.2% in Q2 2023, against a decline of 39.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.02 million (Q1 2026), $36.01 million (Q4 2025) and $29.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 20.79 Bn |
| 10 | SS Innovations International | 322.27 Mn | 245.88 Mn | 7.10 Mn | 43.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.58 Mn |
| Mar 31, 2026 | 36.02 Mn |
| Dec 31, 2025 | 36.01 Mn |
| Sep 30, 2025 | 29.93 Mn |
| Jun 30, 2025 | 27.95 Mn |
| Mar 31, 2025 | 22.90 Mn |
| Dec 31, 2024 | 28.93 Mn |
| Sep 30, 2024 | 25.33 Mn |
| Jun 30, 2024 | 20.89 Mn |
| Mar 31, 2024 | 18.45 Mn |
| Dec 31, 2023 | 11.80 Mn |
| Sep 30, 2023 | 11.79 Mn |
| Jun 30, 2023 | 11.31 Mn |
| Mar 31, 2023 | 9.50 Mn |
| Dec 31, 2022 | 9.66 Mn |
| Sep 30, 2022 | 3.30 Mn |
| Jun 30, 2022 | 1.42 Mn |
| Mar 31, 2022 | 744,444.00 |
| Dec 31, 2021 | -157,004.00 |
| Sep 30, 2021 | 1.28 Mn |
SS Innovations International Total 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-liabilities&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();