Medline (MDLN) EBT Margin (2025 - 2026)
Medline (MDLN) posted EBT Margin of 4.91% for Q3 2026, up 0.06 percentage points from 4.85% a year earlier and up 1.86 percentage points from the prior quarter.
Medline (MDLN) EBT Margin (2025 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, EBT Margin at Medline was 3.64%; for FY2025, it came in at 4.39%, down 0.50 percentage points from FY2024.
- In prior years, Medline's EBT Margin was 4.88% in FY2024 (+3.75 pp) and 1.14% in FY2023.
- The Q3 2026 figure stands as the highest quarterly EBT Margin since Q2 2025.
- According to Business Quant data, EBT Margin for the three prior quarters was 3.06% (Q2 2026), 3.96% (Q1 2026) and 2.65% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 17.20% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 9.46% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 17.27% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 21.92% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.13% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.29% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 14.27% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 21.17% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.91% |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 4.91% |
| Jun 27, 2026 | 3.06% |
| Mar 28, 2026 | 3.96% |
| Dec 31, 2025 | 2.65% |
| Sep 27, 2025 | 4.85% |
| Jun 28, 2025 | 5.21% |
| Mar 29, 2025 | 5.09% |
Medline EBT Margin 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=ebt-margin&ticker=MDLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-margin", "ticker": "MDLN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt-margin&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();