Vicarious Surgical (RBOT) Total Non-Current Liabilities (2020 - 2025)
Vicarious Surgical (RBOT) reported Total Non-Current Liabilities of $14.71 million for Q3 2025, down 31.6% from $21.49 million a year earlier and down 13.4% from the prior quarter.
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Analysis
Vicarious Surgical (RBOT) Total Non-Current Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Vicarious Surgical posted Total Non-Current Liabilities of $20.23 million, down 3.9% from FY2023.
- Total Non-Current Liabilities has a four-year compound annual growth rate of -19.2% (FY2020 to FY2024).
- By year, Total Non-Current Liabilities came in at $21.07 million in FY2023 (-9.3%), $23.23 million in FY2022 (+171.1%), $8.57 million in FY2021 (-82.0%) and $47.55 million in FY2020.
- The Q3 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 9.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2022 (growth of 396.1%); the low point was Q1 2022 (a decline of 93.6%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $16.99 million (Q2 2025), $20.1 million (Q1 2025) and $20.23 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 14.71 Mn |
| Jun 30, 2025 | 16.99 Mn |
| Mar 31, 2025 | 20.10 Mn |
| Dec 31, 2024 | 20.23 Mn |
| Sep 30, 2024 | 21.49 Mn |
| Jun 30, 2024 | 20.38 Mn |
| Mar 31, 2024 | 18.58 Mn |
| Dec 31, 2023 | 21.07 Mn |
| Sep 30, 2023 | 21.86 Mn |
| Jun 30, 2023 | 21.82 Mn |
| Mar 31, 2023 | 21.26 Mn |
| Dec 31, 2022 | 23.23 Mn |
| Sep 30, 2022 | 26.99 Mn |
| Jun 30, 2022 | 22.58 Mn |
| Mar 31, 2022 | 22.45 Mn |
| Dec 31, 2021 | 8.57 Mn |
| Sep 30, 2021 | 5.44 Mn |
| Jun 30, 2021 | 335.79 Mn |
| Mar 31, 2021 | 349.95 Mn |
| Dec 31, 2020 | 47.55 Mn |
API Access
Vicarious Surgical Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();