SS Innovations International (SSII) Change in Accured Expenses (2016 - 2026)
SS Innovations International's Change in Accured Expenses came in at $526,346 for Q2 2026, down 66.7% from $1.58 million a year earlier but up 105.3% from the prior quarter.
SS Innovations International (SSII) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SS Innovations International reported Change in Accured Expenses of -$684,435; for FY2025, it was $161,914, down 85.8% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -21.3% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $1.14 million in FY2024 (+165.9%), $430,293 in FY2023 (+106.8%), $208,108 in FY2022 and -$849,637 in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$1.68 million (Q3 2025) to $1.58 million (Q2 2025).
- Business Quant data shows SSII's Change in Accured Expenses at $256,441 (Q1 2026), $210,997 (Q4 2025) and -$1.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | SS Innovations International | 534.45 Mn | 495.94 Mn | 7.10 Mn | 526,346.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 526,346.00 |
| Mar 31, 2026 | 256,441.00 |
| Dec 31, 2025 | 210,997.00 |
| Sep 30, 2025 | -1.68 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 48,331.00 |
| Dec 31, 2024 | -97,261.00 |
| Sep 30, 2024 | 432,480.00 |
| Jun 30, 2024 | 103,363.00 |
| Mar 31, 2024 | 705,455.00 |
| Dec 31, 2023 | 231,810.00 |
| Sep 30, 2023 | -142,538.00 |
| Jun 30, 2023 | 158,047.00 |
| Mar 31, 2023 | 182,974.00 |
| Dec 31, 2022 | -249,806.00 |
| Sep 30, 2022 | 544,767.00 |
| Jun 30, 2022 | -77,823.00 |
| Mar 31, 2022 | -9,030.00 |
| Dec 31, 2021 | -1.04 Mn |
| Sep 30, 2021 | 77,927.00 |
SS Innovations International Change in Accured 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=change-in-accured-expenses&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();