Medline (MDLN) Change in Accrued Expenses (2025 - 2026)
Medline (MDLN) recorded Change in Accrued Expenses of $255 million in Q3 2026, up 40.1% from $182 million a year earlier and up 114.3% from the prior quarter.
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Analysis
Medline (MDLN) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Medline's Change in Accrued Expenses came in at $346 million as of Sep 26, 2026; for FY2025, it came in at -$92 million.
- Across earlier years, Change in Accrued Expenses came in at $62 million in FY2024 and -$112 million in FY2023.
- Per Business Quant, the preceding three quarters came in at $119 million (Q2 2026), $72 million (Q1 2026) and -$100 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 255.00 Mn |
| Jun 27, 2026 | 119.00 Mn |
| Mar 28, 2026 | 72.00 Mn |
| Dec 31, 2025 | -100.00 Mn |
| Sep 27, 2025 | 182.00 Mn |
| Jun 28, 2025 | -208.00 Mn |
| Mar 29, 2025 | 34.00 Mn |
API Access
Medline Change in Accrued 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=change-in-accured-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();