Vicarious Surgical (RBOT) EBT (2020 - 2026)
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Analysis
Vicarious Surgical (RBOT) EBT (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -7.46 Mn |
| Dec 31, 2025 | -9.15 Mn |
| Sep 30, 2025 | -11.06 Mn |
| Jun 30, 2025 | -13.22 Mn |
| Mar 31, 2025 | -15.39 Mn |
| Dec 31, 2024 | -13.93 Mn |
| Sep 30, 2024 | -17.09 Mn |
| Jun 30, 2024 | -15.21 Mn |
| Mar 31, 2024 | -17.00 Mn |
| Dec 31, 2023 | -13.11 Mn |
| Sep 30, 2023 | -15.70 Mn |
| Jun 30, 2023 | -15.33 Mn |
| Mar 31, 2023 | -26.92 Mn |
| Dec 31, 2022 | -11.18 Mn |
| Sep 30, 2022 | -24.74 Mn |
| Jun 30, 2022 | -1.45 Mn |
| Mar 31, 2022 | 42.53 Mn |
| Dec 31, 2021 | 21.79 Mn |
| Sep 30, 2021 | -45.12 Mn |
| Jun 30, 2021 | -6.64 Mn |
API Access
Vicarious Surgical EBT 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=ebt&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();