Myomo (MYO) Change in Accured Expenses (2016 - 2025)
Myomo (MYO) posted Change in Accured Expenses of -$1.37 million for Q3 2025, compared with $904,822 a year earlier.
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Analysis
Myomo (MYO) Change in Accured Expenses (2016 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Change in Accured Expenses at Myomo was $897,995, down 41.8% year-over-year; for FY2024, it was $4.69 million, up 162.2% from FY2023.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 138.6% (FY2019 to FY2024).
- In prior years, Myomo's Change in Accured Expenses was $1.79 million in FY2023, -$711,898 in FY2022, $1.11 million in FY2021 (-8.6%) and $1.22 million in FY2020.
- Quarterly Change in Accured Expenses has run from a low of -$1.97 million in Q2 2025 to a high of $2.8 million in Q4 2024 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2023, with growth of 350.2%; the weakest was Q1 2024, with a decline of 77.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.97 million (Q2 2025), $1.44 million (Q1 2025) and $2.8 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 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, 2025 | -1.37 Mn |
| Jun 30, 2025 | -1.97 Mn |
| Mar 31, 2025 | 1.44 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 904,822.00 |
| Jun 30, 2024 | 903,932.00 |
| Mar 31, 2024 | 87,041.00 |
| Dec 31, 2023 | -351,845.00 |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 501,714.00 |
| Mar 31, 2023 | 386,880.00 |
| Dec 31, 2022 | -447,716.00 |
| Sep 30, 2022 | 278,415.00 |
| Jun 30, 2022 | -837,425.00 |
| Mar 31, 2022 | 294,828.00 |
| Dec 31, 2021 | 535,997.00 |
| Sep 30, 2021 | 559,312.00 |
| Jun 30, 2021 | -934,413.00 |
| Mar 31, 2021 | 952,339.00 |
| Dec 31, 2020 | 723,618.00 |
API Access
Myomo Change in Accured 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=change-in-accured-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();