SS Innovations International (SSII) Depreciation and Depletion (2017 - 2026)
SS Innovations International's Depreciation and Depletion was $346,364 in Q2 2026, up 33.0% from $260,361 a year earlier and up 7.0% from the prior quarter.
SS Innovations International (SSII) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, SS Innovations International's Depreciation and Depletion was $1.28 million through Jun 30, 2026, up 73.8% year-over-year; for FY2025, it was $1.08 million, up 146.8% from FY2024.
- Depreciation and Depletion has now increased for three consecutive years, with a three-year compound annual growth rate of 102.8% (FY2022 to FY2025).
- In earlier years, Depreciation and Depletion was $436,005 in FY2024 (+168.1%), $162,623 in FY2023 (+26.2%) and $128,901 in FY2022.
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to Q3 2017.
- Compared with a year earlier, Depreciation and Depletion has increased for ten straight quarters, with growth averaging 132.9% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2024 (growth of 209.2%); the worst was Q4 2023 (a decline of 0.4%).
- Per Business Quant data, SSII's Depreciation and Depletion in the three quarters before Q2 2026 was $323,747 (Q1 2026), $309,491 (Q4 2025) and $297,173 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 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 | 346,364.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 346,364.00 |
| Mar 31, 2026 | 323,747.00 |
| Dec 31, 2025 | 309,491.00 |
| Sep 30, 2025 | 297,173.00 |
| Jun 30, 2025 | 260,361.00 |
| Mar 31, 2025 | 208,882.00 |
| Dec 31, 2024 | 145,926.00 |
| Sep 30, 2024 | 119,502.00 |
| Jun 30, 2024 | 90,476.00 |
| Mar 31, 2024 | 80,101.00 |
| Dec 31, 2023 | 56,922.00 |
| Sep 30, 2023 | 38,644.00 |
| Jun 30, 2023 | 34,466.00 |
| Mar 31, 2023 | 32,591.00 |
| Dec 31, 2022 | 57,156.00 |
| Sep 30, 2022 | 24,712.00 |
| Jun 30, 2022 | 23,302.00 |
| Dec 31, 2017 | 209.00 |
| Sep 30, 2017 | 211.00 |
SS Innovations International Depreciation and Depletion 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=depreciation-and-depletion&ticker=SSII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SSII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();