SS Innovations International (SSII) Interest Expenses (2016 - 2026)
SS Innovations International (SSII) reported Interest Expenses of $344,761 for Q2 2026, up 59.0% from $216,800 a year earlier and up 21.4% from the prior quarter.
SS Innovations International (SSII) Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SS Innovations International's Interest Expenses came in at $1.14 million, up 0.3% year-over-year; for FY2025, it came in at $1.11 million, up 13.9% from FY2024.
- Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 301.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $973,235 in FY2024 (+8.8%), $894,621 in FY2023 (+236.9%) and $265,522 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses since Q1 2025.
- Year over year, Interest Expenses gained in five of the last eight quarters, with growth averaging 38.1%.
- The high point for year-over-year Interest Expenses in five years was Q3 2023 (growth of 114.8%); the low point was Q2 2024 (a decline of 33.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $284,051 (Q1 2026), $335,296 (Q4 2025) and $176,636 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | SS Innovations International | 596.50 Mn | 557.99 Mn | 7.10 Mn | 344,761.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 344,761.00 |
| Mar 31, 2026 | 284,051.00 |
| Dec 31, 2025 | 335,296.00 |
| Sep 30, 2025 | 176,636.00 |
| Jun 30, 2025 | 216,800.00 |
| Mar 31, 2025 | 379,905.00 |
| Dec 31, 2024 | 292,954.00 |
| Sep 30, 2024 | 247,616.00 |
| Jun 30, 2024 | 242,577.00 |
| Mar 31, 2024 | 190,088.00 |
| Dec 31, 2023 | 138,083.00 |
| Sep 30, 2023 | 134,663.00 |
| Jun 30, 2023 | 365,205.00 |
| Mar 31, 2023 | 256,670.00 |
| Dec 31, 2022 | 155,975.00 |
| Sep 30, 2022 | 62,687.00 |
| Jun 30, 2022 | 28,821.00 |
| Dec 31, 2020 | 90.00 |
| Sep 30, 2020 | 313.00 |
| Jun 30, 2020 | 313.00 |
SS Innovations International Interest Expenses 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=interest-expenses&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();