Myomo (MYO) Other Operating Expenses (2022 - 2025)
Myomo's Other Operating Expenses came in at $5.25 million for Q3 2025, up 0.4% from the prior quarter.
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Analysis
Myomo (MYO) Other Operating Expenses (2022 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Myomo reported Other Operating Expenses of $14.88 million; for FY2023, it came in at -$785.00.
- Going back by year, Other Operating Expenses was -$1,101 in FY2022 and -$16,948 in FY2021.
- The Q3 2025 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Myomo | 62.26 Mn | 2.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 5.25 Mn |
| Jun 30, 2025 | 5.23 Mn |
| Mar 31, 2025 | 4.40 Mn |
| Dec 31, 2023 | -6,883.00 |
| Sep 30, 2023 | 467.00 |
| Jun 30, 2023 | 5,631.00 |
| Mar 31, 2023 | -31.00 |
| Dec 31, 2022 | 14,539.00 |
| Sep 30, 2022 | -4,999.00 |
| Jun 30, 2022 | -165.00 |
| Mar 31, 2022 | -128.00 |
API Access
Myomo Other Operating 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-operating-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();