Medline (MDLN) Operating Expenses (2025 - 2026)
Medline (MDLN) reported Operating Expenses of $1.82 billion for Q2 2026, up 44.1% from $1.26 billion a year earlier and up 28.3% from the prior quarter.
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Analysis
Medline (MDLN) Operating Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Medline's Operating Expenses came in at $5.76 billion; for FY2025, it came in at $5.31 billion, up 9.9% from FY2024.
- By year, Operating Expenses came in at $4.83 billion in FY2024 (+4.2%) and $4.64 billion in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Medline | 45.86 Bn | 46.31 Bn | 2.22 Bn | 1.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.82 Bn |
| Mar 28, 2026 | 1.42 Bn |
| Jun 28, 2025 | 1.26 Bn |
| Mar 29, 2025 | 1.25 Bn |
API Access
Medline Operating Expenses 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=operating-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();