Medline (MDLN) Tax Provisions (2025 - 2026)
Medline's Tax Provisions came in at $68 million for Q3 2026, up 195.7% from $23 million a year earlier but down 29.2% from the prior quarter.
Medline (MDLN) Tax Provisions (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Medline reported Tax Provisions of $242 million; for FY2025, it was $91 million, up 97.8% from FY2024.
- Going back by year, Tax Provisions was $46 million in FY2024 (+53.3%) and $30 million in FY2023.
- The five-year range for quarterly Tax Provisions is $16 million (Q1 2025) to $96 million (Q2 2026).
- Year-over-year, Tax Provisions has increased for three consecutive quarters.
- Business Quant data shows MDLN's Tax Provisions at $96 million (Q2 2026), $52 million (Q1 2026) and $26 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 68.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 68.00 Mn |
| Jun 27, 2026 | 96.00 Mn |
| Mar 28, 2026 | 52.00 Mn |
| Dec 31, 2025 | 26.00 Mn |
| Sep 27, 2025 | 23.00 Mn |
| Jun 28, 2025 | 26.00 Mn |
| Mar 29, 2025 | 16.00 Mn |
Medline Tax Provisions 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=tax-provisions&ticker=MDLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();