Medinotec (MDNC) Capital Expenditures (2022 - 2026)
Medinotec (MDNC) reported Capital Expenditures of $40,350 for fiscal Q1 2027 (quarter ended May 31, 2026).
Medinotec (MDNC) Capital Expenditures (2022 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Medinotec's Capital Expenditures came in at $135,418; for FY2026 (ended Feb 28, 2026), it came in at $1,363, down 98.5% from FY2025.
- By fiscal year, Capital Expenditures came in at $89,013 in FY2025, -$2,255 in FY2024, $55,277 in FY2023 and -$90,556 in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly Capital Expenditures since fiscal Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn | 40,350.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 40,350.00 |
| Feb 28, 2025 | -1,346.00 |
| Nov 30, 2024 | 72,626.00 |
| Aug 31, 2024 | 23,788.00 |
| May 31, 2024 | -6,055.00 |
| Feb 29, 2024 | -1,404.00 |
| Feb 28, 2023 | -1,765.00 |
| Nov 30, 2022 | 86,602.00 |
| Aug 31, 2022 | -9,467.00 |
| May 31, 2022 | -20,093.00 |
Medinotec Capital Expenditures 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=capital-expenditures&ticker=MDNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();