Vicarious Surgical (RBOT) Total Liabilities (2020 - 2025)
Vicarious Surgical (RBOT) recorded Total Liabilities of $9.74 million in Q4 2025, down 53.7% from $21.02 million a year earlier and down 36.2% from the prior quarter.
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Analysis
Vicarious Surgical (RBOT) Total Liabilities (2020 - 2025) Analysis & Trends
Starting with Q2 2020, Vicarious Surgical's Total Liabilities history includes 23 quarters.
- Annual Total Liabilities has declined for four straight years, with a five-year compound annual growth rate of -27.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $21.02 million in FY2024 (-4.0%), $21.9 million in FY2023 (-25.1%), $29.25 million in FY2022 (-70.3%) and $98.59 million in FY2021 (+107.1%).
- The Q4 2025 figure is the lowest quarterly Total Liabilities in data going back to Q2 2020.
- On a year-over-year basis, Total Liabilities has declined for 16 consecutive quarters, with an average decline of 22.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 107.1% in Q4 2021, against a decline of 91.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.26 million (Q3 2025), $17.83 million (Q2 2025) and $20.98 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | 9.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.74 Mn |
| Sep 30, 2025 | 15.26 Mn |
| Jun 30, 2025 | 17.83 Mn |
| Mar 31, 2025 | 20.98 Mn |
| Dec 31, 2024 | 21.02 Mn |
| Sep 30, 2024 | 22.73 Mn |
| Jun 30, 2024 | 21.49 Mn |
| Mar 31, 2024 | 21.28 Mn |
| Dec 31, 2023 | 21.90 Mn |
| Sep 30, 2023 | 24.18 Mn |
| Jun 30, 2023 | 28.84 Mn |
| Mar 31, 2023 | 33.36 Mn |
| Dec 31, 2022 | 29.25 Mn |
| Sep 30, 2022 | 41.72 Mn |
| Jun 30, 2022 | 34.27 Mn |
| Mar 31, 2022 | 51.74 Mn |
| Dec 31, 2021 | 98.59 Mn |
| Sep 30, 2021 | 135.08 Mn |
| Jun 30, 2021 | 386.49 Mn |
| Mar 31, 2021 | 381.09 Mn |
API Access
Vicarious Surgical Total 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-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();