Vicarious Surgical (RBOT) Other Non-Current Liabilities (2020 - 2025)
Vicarious Surgical (RBOT) posted Other Non-Current Liabilities of $553,000 for Q3 2025, down 55.6% from $1.25 million a year earlier and down 34.2% from the prior quarter.
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Analysis
Vicarious Surgical (RBOT) Other Non-Current Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Vicarious Surgical's Other Non-Current Liabilities came in at $787,000, down 5.2% from FY2023.
- Annual Other Non-Current Liabilities has declined for three consecutive years, though with a four-year compound annual growth rate of 91.9% (FY2020 to FY2024).
- In prior years, Vicarious Surgical's Other Non-Current Liabilities was $830,000 in FY2023 (-86.2%), $6.02 million in FY2022 (-93.3%), $90.02 million in FY2021 and $58,000 in FY2020.
- The Q3 2025 figure stands as the lowest quarterly Other Non-Current Liabilities since Q4 2020.
- On a year-over-year basis, Other Non-Current Liabilities has declined in each of the last 15 quarters, with an average decline of 55.8% over the last eight quarters.
- The year-over-year decline in Other Non-Current Liabilities has ranged between 5.2% (Q4 2024) and 93.3% (Q4 2022) over the last five years.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $840,000 (Q2 2025), $880,000 (Q1 2025) and $787,000 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Vicarious Surgical | 953,554.22 | -358.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 553,000.00 |
| Jun 30, 2025 | 840,000.00 |
| Mar 31, 2025 | 880,000.00 |
| Dec 31, 2024 | 787,000.00 |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 2.70 Mn |
| Dec 31, 2023 | 830,000.00 |
| Sep 30, 2023 | 2.32 Mn |
| Jun 30, 2023 | 7.02 Mn |
| Mar 31, 2023 | 12.10 Mn |
| Dec 31, 2022 | 6.02 Mn |
| Sep 30, 2022 | 14.73 Mn |
| Jun 30, 2022 | 11.69 Mn |
| Mar 31, 2022 | 29.29 Mn |
| Dec 31, 2021 | 90.02 Mn |
| Sep 30, 2021 | 129.64 Mn |
| Jun 30, 2021 | 50.71 Mn |
| Mar 31, 2021 | 31.14 Mn |
| Dec 31, 2020 | 58,000.00 |
API Access
Vicarious Surgical Other 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=other-non-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();