Myomo (MYO) Property, Plant & Equipment (Net) (2016 - 2025)
Myomo (MYO) reported Property, Plant & Equipment (Net) of $2.21 million for Q4 2025, up 66.4% from $1.33 million a year earlier but down 40.4% from the prior quarter.
Myomo (MYO) Property, Plant & Equipment (Net) (2016 - 2025) Analysis & Trends
Dating back to Q4 2016, Myomo's Property, Plant & Equipment (Net) record includes 36 quarters.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 87.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.33 million in FY2024 (+656.6%), $175,794 in FY2023 (-9.5%), $194,283 in FY2022 (-29.4%) and $275,289 in FY2021 (+189.7%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $153,719 in Q2 2023 and a high of $3.71 million in Q3 2025.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last eight quarters, with growth averaging 413.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2025 (growth of 905.5%); the low point was Q2 2023 (a decline of 45.7%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $3.71 million (Q3 2025), $2.91 million (Q2 2025) and $1.84 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Myomo | 61.88 Mn | 2.46 Mn | - | 2.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.21 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 2.91 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 1.33 Mn |
| Sep 30, 2024 | 561,325.00 |
| Jun 30, 2024 | 289,303.00 |
| Mar 31, 2024 | 205,917.00 |
| Dec 31, 2023 | 175,794.00 |
| Sep 30, 2023 | 172,018.00 |
| Jun 30, 2023 | 153,719.00 |
| Mar 31, 2023 | 190,736.00 |
| Dec 31, 2022 | 194,283.00 |
| Sep 30, 2022 | 239,955.00 |
| Jun 30, 2022 | 283,317.00 |
| Mar 31, 2022 | 279,538.00 |
| Dec 31, 2021 | 275,289.00 |
| Sep 30, 2021 | 302,110.00 |
| Jun 30, 2021 | 320,238.00 |
| Mar 31, 2021 | 210,296.00 |
Myomo Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MYO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();