Myomo (MYO) Total Liabilities (2016 - 2025)
Myomo (MYO) posted Total Liabilities of $27.23 million for Q4 2025, up 55.4% from $17.53 million a year earlier and up 40.0% from the prior quarter.
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Analysis
Myomo (MYO) Total Liabilities (2016 - 2025) Analysis & Trends
Since Q4 2016, Myomo has reported Total Liabilities for 36 quarters.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 54.0% (FY2020 to FY2025).
- In prior years, Myomo's Total Liabilities was $17.53 million in FY2024 (+213.5%), $5.59 million in FY2023 (+47.1%), $3.8 million in FY2022 (-18.9%) and $4.69 million in FY2021 (+49.0%).
- The Q4 2025 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has increased in each of the last 11 quarters, with growth averaging 126.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 241.2%; the weakest was Q1 2023, with a decline of 19.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $19.45 million (Q3 2025), $21.06 million (Q2 2025) and $19.18 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Myomo | 58.80 Mn | -614,275.30 | - | 27.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 27.23 Mn |
| Sep 30, 2025 | 19.45 Mn |
| Jun 30, 2025 | 21.06 Mn |
| Mar 31, 2025 | 19.18 Mn |
| Dec 31, 2024 | 17.53 Mn |
| Sep 30, 2024 | 7.02 Mn |
| Jun 30, 2024 | 6.51 Mn |
| Mar 31, 2024 | 5.62 Mn |
| Dec 31, 2023 | 5.59 Mn |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 4.48 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 3.80 Mn |
| Sep 30, 2022 | 4.34 Mn |
| Jun 30, 2022 | 4.21 Mn |
| Mar 31, 2022 | 5.11 Mn |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 4.31 Mn |
| Jun 30, 2021 | 3.90 Mn |
| Mar 31, 2021 | 4.86 Mn |
API Access
Myomo Total Liabilities 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=total-liabilities&ticker=MYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();