Medline (MDLN) Change in Receivables (2025 - 2026)
Medline (MDLN) recorded Change in Receivables of $133 million in Q3 2026, up 47.8% from $90 million a year earlier.
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Analysis
Medline (MDLN) Change in Receivables (2025 - 2026) Analysis & Trends
On a TTM basis, Medline's Change in Receivables came in at $397 million as of Sep 26, 2026; for FY2025, it came in at $355 million, up 38.7% from FY2024.
- Across earlier years, Change in Receivables came in at $256 million in FY2024 (+67.3%) and $153 million in FY2023.
- Quarterly Change in Receivables has ranged from $2 million in Q2 2026 to $146 million in Q1 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $2 million (Q2 2026), $146 million (Q1 2026) and $116 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 476.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 133.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | -22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 133.00 Mn |
| Jun 27, 2026 | 2.00 Mn |
| Mar 28, 2026 | 146.00 Mn |
| Dec 31, 2025 | 116.00 Mn |
| Sep 27, 2025 | 90.00 Mn |
| Jun 28, 2025 | 51.00 Mn |
| Mar 29, 2025 | 98.00 Mn |
API Access
Medline Change in Receivables 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-receivables&ticker=MDLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=MDLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();