Medline (MDLN) Other Operating Expenses (2025 - 2026)
Medline's Other Operating Expenses was -$5.77 billion in Q3 2026, compared with -$5.06 billion a year earlier.
Powered by 
Analysis
Medline (MDLN) Other Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medline's Other Operating Expenses was -$21.68 billion through Sep 26, 2026; for FY2025, it came in at -$20.13 billion.
- In earlier years, Other Operating Expenses was -$17.81 billion in FY2024 and -$16.58 billion in FY2023.
- Per Business Quant data, MDLN's Other Operating Expenses in the three quarters before Q3 2026 was -$4.95 billion (Q2 2026), -$5.32 billion (Q1 2026) and -$5.65 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 10.00 Mn |
| Jun 27, 2026 | -348.00 Mn |
| Mar 28, 2026 | -15.00 Mn |
| Dec 31, 2025 | -48.00 Mn |
| Sep 27, 2025 | -8.00 Mn |
| Jun 28, 2025 | -14.00 Mn |
| Mar 29, 2025 | -8.00 Mn |
API Access
Medline Other 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=other-operating-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();