Medline (MDLN) Net Cash Flow (2025 - 2026)
Medline (MDLN) recorded Net Cash Flow of -$3 million in Q3 2026, compared with $374 million a year earlier.
Analysis
Medline (MDLN) Net Cash Flow (2025 - 2026) Analysis & Trends
On a TTM basis, Medline's Net Cash Flow came in at $1.38 billion as of Sep 26, 2026; for FY2025, it came in at $1.67 billion.
- Across earlier years, Net Cash Flow came in at -$1.34 billion in FY2024 and $1.18 billion in FY2023.
- The Q3 2026 figure is the lowest quarterly Net Cash Flow since Q2 2025.
- Per Business Quant, the preceding three quarters came in at $95 million (Q2 2026), $303 million (Q1 2026) and $988 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.41 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 1.32 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 228.30 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -119.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 42.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 213.10 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -3.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | -42.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | -3.00 Mn |
| Jun 27, 2026 | 95.00 Mn |
| Mar 28, 2026 | 303.00 Mn |
| Dec 31, 2025 | 988.00 Mn |
| Sep 27, 2025 | 374.00 Mn |
| Jun 28, 2025 | -274.00 Mn |
| Mar 29, 2025 | 581.00 Mn |
API Access
Medline Net Cash Flow 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=net-cash-flow&ticker=MDLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();