Medline (MDLN) EBITDA (2025 - 2026)
Medline's EBITDA was $769 million in Q3 2026, down 8.7% from $842 million a year earlier but up 15.8% from the prior quarter.
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Analysis
Medline (MDLN) EBITDA (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medline's EBITDA was $2.82 billion through Sep 26, 2026; for FY2025, it came in at $3.28 billion, up 3.2% from FY2024.
- In earlier years, EBITDA was $3.18 billion in FY2024 (+39.4%) and $2.28 billion in FY2023.
- Quarterly EBITDA has moved between $664 million (Q2 2026) and $907 million (Q2 2025) over five years.
- Compared with a year earlier, EBITDA has declined for three straight quarters.
- Per Business Quant data, MDLN's EBITDA in the three quarters before Q3 2026 was $664 million (Q2 2026), $687 million (Q1 2026) and $700 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 2.61 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 1.97 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.19 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 344.00 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 769.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 769.00 Mn |
| Jun 27, 2026 | 664.00 Mn |
| Mar 28, 2026 | 687.00 Mn |
| Dec 31, 2025 | 700.00 Mn |
| Sep 27, 2025 | 842.00 Mn |
| Jun 28, 2025 | 907.00 Mn |
| Mar 29, 2025 | 833.00 Mn |
API Access
Medline EBITDA 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=ebitda&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();