Medline (MDLN) Cash & Equivalents (2024 - 2026)
Medline's Cash & Equivalents came in at $2.32 billion for Q3 2026, down 0.3% from the prior quarter.
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Analysis
Medline (MDLN) Cash & Equivalents (2024 - 2026) Analysis & Trends
At the end of FY2025, Medline's Cash & Equivalents was $1.94 billion, up 874.4% from FY2024.
- Going back by year, Cash & Equivalents was $199 million in FY2024.
- The five-year range for quarterly Cash & Equivalents is $199 million (Q4 2024) to $2.33 billion (Q2 2026).
- Business Quant data shows MDLN's Cash & Equivalents at $2.33 billion (Q2 2026), $2.24 billion (Q1 2026) and $1.94 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 1.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 2.32 Bn |
| Jun 27, 2026 | 2.33 Bn |
| Mar 28, 2026 | 2.24 Bn |
| Dec 31, 2025 | 1.94 Bn |
| Dec 31, 2024 | 199.00 Mn |
API Access
Medline Cash & Equivalents 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=cash-and-equivalents&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();