Medinotec (MDNC) Property, Plant & Equipment (Net) (2022 - 2026)
Medinotec's Property, Plant & Equipment (Net) was $345,011 in fiscal Q1 2027 (quarter ended May 31, 2026), up 0.1% from $344,653 a year earlier and up 4.1% from the prior quarter.
Medinotec (MDNC) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Property, Plant & Equipment (Net) at Medinotec came in at $331,346, down 4.9% from FY2025.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of -10.5% (FY2022 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $348,486 in FY2025 (+8.9%), $320,122 in FY2024 (-21.3%), $406,873 in FY2023 (-21.1%) and $515,703 in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2025.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in five of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q3 2025 (growth of 10.6%); the worst was fiscal Q3 2024 (a decline of 24.9%).
- Per Business Quant data, MDNC's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $331,346 (Q4 2026), $325,916 (Q3 2026) and $333,296 (Q2 2026).
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 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn | 345,011.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 345,011.00 |
| Feb 28, 2026 | 331,346.00 |
| Nov 30, 2025 | 325,916.00 |
| Aug 31, 2025 | 333,296.00 |
| May 31, 2025 | 344,653.00 |
| Feb 28, 2025 | 348,486.00 |
| Nov 30, 2024 | 378,294.00 |
| Aug 31, 2024 | 327,064.00 |
| May 31, 2024 | 316,335.00 |
| Feb 29, 2024 | 320,122.00 |
| Nov 30, 2023 | 341,969.00 |
| Aug 31, 2023 | 360,132.00 |
| May 31, 2023 | 360,724.00 |
| Feb 28, 2023 | 406,873.00 |
| Nov 30, 2022 | 455,421.00 |
| Feb 28, 2022 | 515,703.00 |
Medinotec 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=MDNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MDNC", "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=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();