Vicarious Surgical (RBOT) Depreciation and Depletion (2020 - 2025)
Vicarious Surgical's Depreciation and Depletion was $352,000 in Q3 2025, down 30.6% from $507,000 a year earlier and down 14.8% from the prior quarter.
Vicarious Surgical (RBOT) Depreciation and Depletion (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Vicarious Surgical's Depreciation and Depletion was $1.68 million through Sep 30, 2025, down 19.8% year-over-year; for FY2024, it was $2.11 million, up 13.6% from FY2023.
- Depreciation and Depletion has now increased for four consecutive years, with a four-year compound annual growth rate of 91.4% (FY2020 to FY2024).
- In earlier years, Depreciation and Depletion was $1.85 million in FY2023 (+66.9%), $1.11 million in FY2022 (+251.6%), $316,000 in FY2021 (+101.3%) and $157,000 in FY2020.
- The Q3 2025 figure marks the lowest quarterly Depreciation and Depletion since Q3 2022.
- Compared with a year earlier, Depreciation and Depletion has declined for three straight quarters, with growth averaging 0.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q1 2022 (growth of 351.2%); the worst was Q3 2025 (a decline of 30.6%).
- Per Business Quant data, RBOT's Depreciation and Depletion in the three quarters before Q3 2025 was $413,000 (Q2 2025), $369,000 (Q1 2025) and $542,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | Vicarious Surgical | 1.07 Mn | -358.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 352,000.00 |
| Jun 30, 2025 | 413,000.00 |
| Mar 31, 2025 | 369,000.00 |
| Dec 31, 2024 | 542,000.00 |
| Sep 30, 2024 | 507,000.00 |
| Jun 30, 2024 | 537,000.00 |
| Mar 31, 2024 | 521,000.00 |
| Dec 31, 2023 | 525,000.00 |
| Sep 30, 2023 | 447,000.00 |
| Jun 30, 2023 | 441,000.00 |
| Mar 31, 2023 | 441,000.00 |
| Dec 31, 2022 | 402,000.00 |
| Sep 30, 2022 | 338,000.00 |
| Jun 30, 2022 | 186,000.00 |
| Mar 31, 2022 | 185,000.00 |
| Dec 31, 2021 | 126,000.00 |
| Sep 30, 2021 | 85,000.00 |
| Jun 30, 2021 | 64,000.00 |
| Mar 31, 2021 | 41,000.00 |
| Dec 31, 2020 | 46,000.00 |
Vicarious Surgical 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=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "RBOT", "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=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();