Medtronic (MDT) Restructuring Costs (2014 - 2026)
Medtronic (MDT) recorded Restructuring Costs of $89 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 32.8% from $67 million a year earlier but down 25.2% from the prior quarter.
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Analysis
Medtronic (MDT) Restructuring Costs (2014 - 2026) Analysis & Trends
On a TTM basis, Medtronic's Restructuring Costs came in at $393 million as of Jul 31, 2026, up 20.2% year-over-year; for FY2026 (ended Apr 24, 2026), it came in at $370 million, up 14.9% from FY2025.
- Annual Restructuring Costs has a five-year compound annual growth rate of -7.2% (FY2021 to FY2026).
- Across earlier fiscal years, Restructuring Costs came in at $322 million in FY2025 (-17.2%), $389 million in FY2024 (-39.9%), $647 million in FY2023 (+93.1%) and $335 million in FY2022 (-37.8%).
- Quarterly Restructuring Costs has ranged from $13 million in fiscal Q2 2026 to $300 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in three of the last eight quarters, with growth averaging 13.0%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 273.9% in fiscal Q3 2026, against a decline of 89.5% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $119 million (Q4 2026), $172 million (Q3 2026) and $13 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 89.00 Mn |
| Apr 24, 2026 | 119.00 Mn |
| Jan 23, 2026 | 172.00 Mn |
| Oct 24, 2025 | 13.00 Mn |
| Jul 25, 2025 | 67.00 Mn |
| Apr 25, 2025 | 168.00 Mn |
| Jan 24, 2025 | 46.00 Mn |
| Oct 25, 2024 | 46.00 Mn |
| Jul 26, 2024 | 62.00 Mn |
| Apr 26, 2024 | 300.00 Mn |
| Jan 26, 2024 | 55.00 Mn |
| Oct 27, 2023 | 91.00 Mn |
| Jul 28, 2023 | 91.00 Mn |
| Apr 28, 2023 | 300.00 Mn |
| Jan 27, 2023 | 104.00 Mn |
| Oct 28, 2022 | 95.00 Mn |
| Jul 29, 2022 | 76.00 Mn |
| Apr 29, 2022 | 98.00 Mn |
| Jan 28, 2022 | 78.00 Mn |
| Oct 29, 2021 | 77.00 Mn |
API Access
Medtronic Restructuring Costs 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=restructuring-costs&ticker=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();