Microbot Medical (MBOT) Depreciation and Depletion (2014 - 2019)
Microbot Medical (MBOT) posted Depreciation and Depletion of $11,000 for Q1 2019, up 10.0% from $10,000 a year earlier and up 120.0% from the prior quarter.
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Analysis
Microbot Medical (MBOT) Depreciation and Depletion (2014 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Depreciation and Depletion at Microbot Medical was $55,000, up 120.0% year-over-year; for FY2018, it was $54,000, up 157.1% from FY2017.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -41.5% (FY2013 to FY2018).
- In prior years, Microbot Medical's Depreciation and Depletion was $21,000 in FY2017 (+110.0%), $10,000 in FY2016 (-41.2%) and $17,000 in FY2015.
- Quarterly Depreciation and Depletion has run from a low of -$761,000 in Q4 2015 to a high of $274,000 in Q3 2015 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 167.9%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2018, with growth of 766.7%; the weakest was Q2 2016, with a decline of 99.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $5,000 (Q4 2018), $26,000 (Q3 2018) and $13,000 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Microbot Medical | 77.90 Mn | 77.90 Mn | 2,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 11,000.00 |
| Dec 31, 2018 | 5,000.00 |
| Sep 30, 2018 | 26,000.00 |
| Jun 30, 2018 | 13,000.00 |
| Mar 31, 2018 | 10,000.00 |
| Dec 31, 2017 | 6,000.00 |
| Sep 30, 2017 | 3,000.00 |
| Jun 30, 2017 | 6,000.00 |
| Mar 31, 2017 | 6,000.00 |
| Dec 31, 2016 | 2,000.00 |
| Sep 30, 2016 | 3,000.00 |
| Jun 30, 2016 | 2,000.00 |
| Mar 31, 2016 | 4,000.00 |
| Dec 31, 2015 | -761,000.00 |
| Sep 30, 2015 | 274,000.00 |
| Jun 30, 2015 | 255,000.00 |
| Mar 31, 2015 | 249,000.00 |
| Dec 31, 2014 | 242,000.00 |
| Sep 30, 2014 | 246,000.00 |
API Access
Microbot Medical Depreciation and Depletion 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=depreciation-and-depletion&ticker=MBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();