Microbot Medical (MBOT) Accumulated Expenses (2010 - 2026)
Microbot Medical (MBOT) posted Accumulated Expenses of $1.98 million for Q1 2026, up 22.3% from $1.62 million a year earlier but down 24.3% from the prior quarter.
Microbot Medical (MBOT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Microbot Medical's Accumulated Expenses came in at $2.61 million, up 17.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, Microbot Medical's Accumulated Expenses was $2.23 million in FY2024 (+116.7%), $1.03 million in FY2023 (-38.5%), $1.67 million in FY2022 (+17.0%) and $1.43 million in FY2021 (+61.6%).
- Quarterly Accumulated Expenses has run from a low of $639,000 in Q3 2021 to a high of $2.61 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 57.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2024, with growth of 116.7%; the weakest was Q4 2023, with a decline of 38.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.61 million (Q4 2025), $2.13 million (Q3 2025) and $2.12 million (Q2 2025).
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 | Microbot Medical | 80.59 Mn | 80.59 Mn | 2,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | 2.12 Mn |
| Mar 31, 2025 | 1.62 Mn |
| Dec 31, 2024 | 2.23 Mn |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | 896,000.00 |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 1.05 Mn |
| Jun 30, 2023 | 859,000.00 |
| Mar 31, 2023 | 743,000.00 |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 639,000.00 |
| Jun 30, 2021 | 692,000.00 |
Microbot Medical Accumulated 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=accumulated-expenses&ticker=MBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MBOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=MBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();