Myomo (MYO) Other Accumulated Expenses (2016 - 2019)
Myomo (MYO) recorded Other Accumulated Expenses of $200,946 in Q3 2019, down 35.4% from $311,150 a year earlier and down 30.9% from the prior quarter.
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Analysis
Myomo (MYO) Other Accumulated Expenses (2016 - 2019) Analysis & Trends
At the end of FY2018, Myomo reported Other Accumulated Expenses of $152,283, down 43.6% from FY2017.
- Across earlier years, Other Accumulated Expenses came in at $269,921 in FY2017 (+159.6%) and $103,969 in FY2016.
- Quarterly Other Accumulated Expenses has ranged from $103,969 in Q4 2016 to $391,127 in Q2 2018 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last five quarters, with growth averaging 18.0%.
- Per Business Quant, the preceding three quarters came in at $290,782 (Q2 2019), $290,081 (Q1 2019) and $152,283 (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 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 | Myomo | 61.88 Mn | 2.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 200,946.00 |
| Jun 30, 2019 | 290,782.00 |
| Mar 31, 2019 | 290,081.00 |
| Dec 31, 2018 | 152,283.00 |
| Sep 30, 2018 | 311,150.00 |
| Jun 30, 2018 | 391,127.00 |
| Mar 31, 2018 | 214,634.00 |
| Dec 31, 2017 | 269,921.00 |
| Dec 31, 2016 | 103,969.00 |
API Access
Myomo Other 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=other-accumulated-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "MYO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();