Medinotec (MDNC) EV to CFO (2023 - 2026)
Medinotec's EV to CFO was 37.90 in fiscal Q1 2027 (quarter ended May 31, 2026), down 91.8% from 459.76 a year earlier and down 37.5% from the prior quarter.
Medinotec (MDNC) EV to CFO (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medinotec's EV to CFO was 32.78 through May 31, 2026, down 91.7% year-over-year; for FY2026 (ended Feb 28, 2026), it was 60.61, up 22.1% from FY2025.
- In earlier fiscal years, EV to CFO was 49.66 in FY2025 (-91.2%) and 565.76 in FY2024.
- The fiscal Q1 2027 figure marks the lowest quarterly EV to CFO in data going back to fiscal Q3 2024.
- Compared with a year earlier, EV to CFO was higher in three of the last seven quarters, with growth averaging 29.4%.
- Per Business Quant data, MDNC's EV to CFO in the three fiscal quarters before Q1 2027 was 60.61 (Q4 2026), 42.66 (Q3 2026) and 62.42 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 37.90 |
| Feb 28, 2026 | 60.61 |
| Nov 30, 2025 | 42.66 |
| Aug 31, 2025 | 62.42 |
| May 31, 2025 | 459.76 |
| Feb 28, 2025 | 49.66 |
| Nov 30, 2024 | 68.08 |
| Aug 31, 2024 | 52.00 |
| May 31, 2024 | 87.24 |
| Feb 29, 2024 | 565.76 |
| Nov 30, 2023 | 119.11 |
Medinotec EV to CFO 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=ev-to-cfo&ticker=MDNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();