Vicarious Surgical (RBOT) Change in Accrued Expenses (2020 - 2026)
Vicarious Surgical (RBOT) reported Change in Accrued Expenses of -$2.16 million for Q3 2025, compared with $319,000 a year earlier.
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Analysis
Vicarious Surgical (RBOT) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Vicarious Surgical's Change in Accrued Expenses came in at -$4.11 million; for FY2024, it was $309,000.
- Change in Accrued Expenses has a four-year compound annual growth rate of -5.9% (FY2020 to FY2024).
- By year, Change in Accrued Expenses came in at -$833,000 in FY2023, $1.71 million in FY2022 (-58.2%), $4.1 million in FY2021 (+940.1%) and $394,000 in FY2020.
- Five-year quarterly Change in Accrued Expenses spans a low of -$2.5 million in Q2 2025 and a high of $4.1 million in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2025 came in at -$2.5 million (Q2 2025), $287,000 (Q1 2025) and $270,000 (Q4 2024).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -286,000.00 |
| Dec 31, 2025 | 151,000.00 |
| Sep 30, 2025 | -2.16 Mn |
| Jun 30, 2025 | -2.50 Mn |
| Mar 31, 2025 | 287,000.00 |
| Dec 31, 2024 | 270,000.00 |
| Sep 30, 2024 | 319,000.00 |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | -2.26 Mn |
| Dec 31, 2023 | -291,000.00 |
| Sep 30, 2023 | 330,000.00 |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | -1.98 Mn |
| Dec 31, 2022 | 443,000.00 |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.22 Mn |
| Mar 31, 2022 | -1.05 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 68,000.00 |
| Jun 30, 2021 | -552,974.00 |
API Access
Vicarious Surgical Change in Accrued Expenses 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=change-in-accured-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();