Medtronic (MDT) Change in Accured Expenses (2014 - 2026)
Medtronic's Change in Accured Expenses was -$531 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$598 million a year earlier.
Medtronic (MDT) Change in Accured Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Medtronic's Change in Accured Expenses was $113 million through Jul 31, 2026, down 47.4% year-over-year; for FY2026 (ended Apr 24, 2026), it was $46 million, down 78.0% from FY2025.
- Change in Accured Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -38.7% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $209 million in FY2025 (-46.5%), $391 million in FY2024 (-43.8%), $696 million in FY2023 (+226.8%) and $213 million in FY2022 (-59.9%).
- Quarterly Change in Accured Expenses has moved between -$673 million (fiscal Q1 2024) and $703 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with an average decline of 14.6%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2023 (growth of 157.5%); the worst was fiscal Q4 2026 (a decline of 66.4%).
- Per Business Quant data, MDT's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $123 million (Q4 2026), $703 million (Q3 2026) and -$182 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 34.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -531.00 Mn |
| Apr 24, 2026 | 123.00 Mn |
| Jan 23, 2026 | 703.00 Mn |
| Oct 24, 2025 | -182.00 Mn |
| Jul 25, 2025 | -598.00 Mn |
| Apr 25, 2025 | 366.00 Mn |
| Jan 24, 2025 | 550.00 Mn |
| Oct 25, 2024 | -103.00 Mn |
| Jul 26, 2024 | -604.00 Mn |
| Apr 26, 2024 | 644.00 Mn |
| Jan 26, 2024 | 446.00 Mn |
| Oct 27, 2023 | -26.00 Mn |
| Jul 28, 2023 | -673.00 Mn |
| Apr 28, 2023 | 533.00 Mn |
| Jan 27, 2023 | 177.00 Mn |
| Oct 28, 2022 | 133.00 Mn |
| Jul 29, 2022 | -147.00 Mn |
| Apr 29, 2022 | 207.00 Mn |
| Jan 28, 2022 | 452.00 Mn |
| Oct 29, 2021 | -30.00 Mn |
Medtronic Change in Accured 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=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();