Medtronic (MDT) Change in Receivables (2014 - 2026)
Medtronic (MDT) reported Change in Receivables of -$224 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$288 million a year earlier.
Medtronic (MDT) Change in Receivables (2014 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Medtronic's Change in Receivables came in at $264 million, up 3.5% year-over-year; for FY2026 (ended Apr 24, 2026), it came in at $200 million, down 53.8% from FY2025.
- Change in Receivables has a five-year compound annual growth rate of -23.5% (FY2021 to FY2026).
- By fiscal year, Change in Receivables came in at $433 million in FY2025 (+10.7%), $391 million in FY2024 (-32.1%), $576 million in FY2023 (+20.8%) and $477 million in FY2022 (-37.3%).
- Five-year quarterly Change in Receivables spans a low of -$288 million in fiscal Q1 2026 and a high of $435 million in fiscal Q2 2023.
- Year over year, Change in Receivables gained in two of the last five quarters, with an average decline of 19.1%.
- The high point for year-over-year Change in Receivables in five years was fiscal Q2 2023 (growth of 232.1%); the low point was fiscal Q3 2025 (a decline of 87.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $287 million (Q4 2026), -$13 million (Q3 2026) and $214 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 386.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | -22.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -224.00 Mn |
| Apr 24, 2026 | 287.00 Mn |
| Jan 23, 2026 | -13.00 Mn |
| Oct 24, 2025 | 214.00 Mn |
| Jul 25, 2025 | -288.00 Mn |
| Apr 25, 2025 | 249.00 Mn |
| Jan 24, 2025 | 3.00 Mn |
| Oct 25, 2024 | 291.00 Mn |
| Jul 26, 2024 | -110.00 Mn |
| Apr 26, 2024 | 251.00 Mn |
| Jan 26, 2024 | 23.00 Mn |
| Oct 27, 2023 | 281.00 Mn |
| Jul 28, 2023 | -164.00 Mn |
| Apr 28, 2023 | 168.00 Mn |
| Jan 27, 2023 | 62.00 Mn |
| Oct 28, 2022 | 435.00 Mn |
| Jul 29, 2022 | -89.00 Mn |
| Apr 29, 2022 | 265.00 Mn |
| Jan 28, 2022 | 41.00 Mn |
| Oct 29, 2021 | 131.00 Mn |
Medtronic 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=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();