Myomo (MYO) Cost of Revenue (2016 - 2025)
Myomo (MYO) posted Cost of Revenue of $3.65 million for Q3 2025, up 61.3% from $2.26 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Myomo (MYO) Cost of Revenue (2016 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Cost of Revenue at Myomo was $13.92 million, up 84.1% year-over-year; for FY2024, it was $9.37 million, up 54.6% from FY2023.
- Annual Cost of Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 45.8% (FY2019 to FY2024).
- In prior years, Myomo's Cost of Revenue was $6.06 million in FY2023 (+14.3%), $5.3 million in FY2022 (+49.6%), $3.54 million in FY2021 (+36.3%) and $2.6 million in FY2020 (+83.0%).
- The Q3 2025 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2016.
- On a year-over-year basis, Cost of Revenue has increased in each of the last ten quarters, with growth averaging 59.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2020, with growth of 137.3%; the weakest was Q1 2023, with a decline of 11.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.6 million (Q2 2025), $3.22 million (Q1 2025) and $3.45 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Myomo | 61.88 Mn | 2.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.65 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 3.45 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 1.68 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.28 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 909,175.00 |
| Sep 30, 2021 | 1.11 Mn |
| Jun 30, 2021 | 901,566.00 |
| Mar 31, 2021 | 623,152.00 |
| Dec 31, 2020 | 1.01 Mn |
API Access
Myomo Cost of Revenue 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=cost-of-revenue&ticker=MYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();