Medtronic (MDT) Receivables - Net (2014 - 2026)
Medtronic's Receivables - Net came in at $6.36 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 1.5% from $6.26 billion a year earlier but down 4.3% from the prior quarter.
Medtronic (MDT) Receivables - Net (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Medtronic's Receivables - Net was $6.64 billion, up 2.0% from FY2025.
- Receivables - Net has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- Going back by fiscal year, Receivables - Net was $6.52 billion in FY2025 (+6.3%), $6.13 billion in FY2024 (+2.2%), $6 billion in FY2023 (+8.1%) and $5.55 billion in FY2022 (+1.6%).
- The five-year range for quarterly Receivables - Net is $5.31 billion (fiscal Q1 2023) to $6.64 billion (fiscal Q4 2026).
- Year-over-year, Receivables - Net has increased for 16 consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in fiscal Q1 2024 (growth of 9.4%), and the weakest in fiscal Q1 2023 (a decline of 2.3%).
- Business Quant data shows MDT's Receivables - Net at $6.64 billion (Q4 2026), $6.36 billion (Q3 2026) and $6.39 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.36 Bn |
| Apr 24, 2026 | 6.64 Bn |
| Jan 23, 2026 | 6.36 Bn |
| Oct 24, 2025 | 6.39 Bn |
| Jul 25, 2025 | 6.26 Bn |
| Apr 25, 2025 | 6.52 Bn |
| Jan 24, 2025 | 6.12 Bn |
| Oct 25, 2024 | 6.26 Bn |
| Jul 26, 2024 | 6.01 Bn |
| Apr 26, 2024 | 6.13 Bn |
| Jan 26, 2024 | 5.97 Bn |
| Oct 27, 2023 | 5.93 Bn |
| Jul 28, 2023 | 5.81 Bn |
| Apr 28, 2023 | 6.00 Bn |
| Jan 27, 2023 | 5.89 Bn |
| Oct 28, 2022 | 5.63 Bn |
| Jul 29, 2022 | 5.31 Bn |
| Apr 29, 2022 | 5.55 Bn |
| Jan 28, 2022 | 5.45 Bn |
| Oct 29, 2021 | 5.49 Bn |
Medtronic Receivables - Net 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=receivables-net&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "MDT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();