Medinotec (MDNC) Price to Earnings (2024 - 2026)
Medinotec's (MDNC) Price to Earnings stood at 65.11 in fiscal Q1 2027 (quarter ended May 31, 2026), up 142.2% from 26.89 a year earlier but down 12.0% from the prior quarter.
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Analysis
Medinotec (MDNC) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Medinotec's Price to Earnings came in at 73.98, up 172.3% from FY2025.
- Across earlier fiscal years, Price to Earnings came in at 27.17 in FY2025.
- Quarterly Price to Earnings has ranged from 25.11 in fiscal Q3 2026 to 75.14 in fiscal Q3 2025 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at 73.98 (Q4 2026), 25.11 (Q3 2026) and 26.15 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 65.11 |
| Feb 28, 2026 | 73.98 |
| Nov 30, 2025 | 25.11 |
| Aug 31, 2025 | 26.15 |
| May 31, 2025 | 26.89 |
| Feb 28, 2025 | 27.17 |
| Nov 30, 2024 | 75.14 |
API Access
Medinotec Price to Earnings 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=price-to-earnings&ticker=MDNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();