Medline (MDLN) Change in Inventory (2025 - 2026)
Medline (MDLN) recorded Change in Inventory of $154 million in Q3 2026, up 73.0% from $89 million a year earlier and up 108.1% from the prior quarter.
Medline (MDLN) Change in Inventory (2025 - 2026) Analysis & Trends
On a TTM basis, Medline's Change in Inventory came in at $285 million as of Sep 26, 2026; for FY2025, it was $264 million, down 51.6% from FY2024.
- Across earlier years, Change in Inventory came in at $545 million in FY2024 and -$444 million in FY2023.
- The Q3 2026 figure is the highest quarterly Change in Inventory since Q2 2025.
- Per Business Quant, the preceding three quarters came in at $74 million (Q2 2026), $42 million (Q1 2026) and $15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 51.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 51.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 228.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 86.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 24.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 154.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 25.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 154.00 Mn |
| Jun 27, 2026 | 74.00 Mn |
| Mar 28, 2026 | 42.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 27, 2025 | 89.00 Mn |
| Jun 28, 2025 | 231.00 Mn |
| Mar 29, 2025 | -71.00 Mn |
Medline Change in Inventory 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=change-in-inventory&ticker=MDLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();