Vicarious Surgical (RBOT) Property, Plant & Equipment (Net) (2020 - 2025)
Vicarious Surgical (RBOT) recorded Property, Plant & Equipment (Net) of $1.27 million in Q4 2025, down 71.7% from $4.48 million a year earlier and down 63.5% from the prior quarter.
Vicarious Surgical (RBOT) Property, Plant & Equipment (Net) (2020 - 2025) Analysis & Trends
Starting with Q4 2020, Vicarious Surgical's Property, Plant & Equipment (Net) history includes 19 quarters.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, though with a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $4.48 million in FY2024 (-30.1%), $6.4 million in FY2023 (-2.8%), $6.59 million in FY2022 (+192.7%) and $2.25 million in FY2021 (+405.6%).
- The Q4 2025 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q4 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for ten consecutive quarters, with an average decline of 28.8% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 405.6% in Q4 2021, against a decline of 71.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.48 million (Q3 2025), $3.79 million (Q2 2025) and $4.11 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Vicarious Surgical | 476,777.11 | -358.97 Mn | - | 1.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 3.79 Mn |
| Mar 31, 2025 | 4.11 Mn |
| Dec 31, 2024 | 4.48 Mn |
| Sep 30, 2024 | 4.82 Mn |
| Jun 30, 2024 | 5.33 Mn |
| Mar 31, 2024 | 5.89 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 5.89 Mn |
| Jun 30, 2023 | 6.25 Mn |
| Mar 31, 2023 | 6.46 Mn |
| Dec 31, 2022 | 6.59 Mn |
| Sep 30, 2022 | 5.94 Mn |
| Jun 30, 2022 | 5.62 Mn |
| Mar 31, 2022 | 4.09 Mn |
| Dec 31, 2021 | 2.25 Mn |
| Sep 30, 2021 | 1.52 Mn |
| Dec 31, 2020 | 445,000.00 |
Vicarious Surgical Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();