Medtronic (MDT) Other Accumulated Expenses (2014 - 2026)
Medtronic (MDT) recorded Other Accumulated Expenses of $3.61 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 0.3% from $3.6 billion a year earlier but down 0.8% from the prior quarter.
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Analysis
Medtronic (MDT) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Medtronic reported Other Accumulated Expenses of $3.63 billion, down 1.3% from FY2025.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- Across earlier fiscal years, Other Accumulated Expenses came in at $3.68 billion in FY2025 (+2.8%), $3.58 billion in FY2024 (unchanged), $3.58 billion in FY2023 (+0.8%) and $3.55 billion in FY2022 (+2.2%).
- Quarterly Other Accumulated Expenses has ranged from $3.15 billion in fiscal Q2 2026 to $4.03 billion in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last eight quarters, with an average decline of 0.3%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 16.2% in fiscal Q2 2023, against a decline of 18.2% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.63 billion (Q4 2026), $3.5 billion (Q3 2026) and $3.15 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.61 Bn |
| Apr 24, 2026 | 3.63 Bn |
| Jan 23, 2026 | 3.50 Bn |
| Oct 24, 2025 | 3.15 Bn |
| Jul 25, 2025 | 3.60 Bn |
| Apr 25, 2025 | 3.68 Bn |
| Jan 24, 2025 | 3.53 Bn |
| Oct 25, 2024 | 3.26 Bn |
| Jul 26, 2024 | 3.60 Bn |
| Apr 26, 2024 | 3.58 Bn |
| Jan 26, 2024 | 3.49 Bn |
| Oct 27, 2023 | 3.30 Bn |
| Jul 28, 2023 | 3.58 Bn |
| Apr 28, 2023 | 3.58 Bn |
| Jan 27, 2023 | 3.63 Bn |
| Oct 28, 2022 | 4.03 Bn |
| Jul 29, 2022 | 3.82 Bn |
| Apr 29, 2022 | 3.55 Bn |
| Jan 28, 2022 | 3.54 Bn |
| Oct 29, 2021 | 3.47 Bn |
API Access
Medtronic Other Accumulated 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=other-accumulated-expenses&ticker=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();