Medline (MDLN) Change in Inventory (2025 - 2026)
Medline (MDLN) recorded Change in Inventory of $74 million in Q2 2026, down 68.0% from $231 million a year earlier but up 76.2% from the prior quarter.
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Analysis
Medline (MDLN) Change in Inventory (2025 - 2026) Analysis & Trends
On a TTM basis, Medline's Change in Inventory came in at $276 million as of Jun 27, 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.
- Quarterly Change in Inventory has ranged from -$71 million in Q1 2025 to $231 million in Q2 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 23.50 Mn |
| 10 | Medline | 29.79 Bn | 22.73 Bn | 2.22 Bn | 74.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 74.00 Mn |
| Mar 28, 2026 | 42.00 Mn |
| Jun 28, 2025 | 231.00 Mn |
| Mar 29, 2025 | -71.00 Mn |
API Access
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_KEYimport 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();