Medtronic (MDT) Cost of Revenue (2014 - 2026)
Medtronic (MDT) reported Cost of Revenue of $3.42 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 13.8% from $3 billion a year earlier and up 0.5% from the prior quarter.
Medtronic (MDT) Cost of Revenue (2014 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Medtronic's Cost of Revenue came in at $13.14 billion, up 10.6% year-over-year; for FY2026 (ended Apr 24, 2026), it was $12.72 billion, up 9.4% from FY2025.
- Cost of Revenue has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $11.63 billion in FY2025 (+3.7%), $11.22 billion in FY2024 (+4.6%), $10.72 billion in FY2023 (+5.7%) and $10.15 billion in FY2022 (-3.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2015.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 7.7% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2026 (growth of 17.3%); the low point was fiscal Q2 2022 (a decline of 7.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.4 billion (Q4 2026), $3.26 billion (Q3 2026) and $3.06 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.42 Bn |
| Apr 24, 2026 | 3.40 Bn |
| Jan 23, 2026 | 3.26 Bn |
| Oct 24, 2025 | 3.06 Bn |
| Jul 25, 2025 | 3.00 Bn |
| Apr 25, 2025 | 3.15 Bn |
| Jan 24, 2025 | 2.78 Bn |
| Oct 25, 2024 | 2.95 Bn |
| Jul 26, 2024 | 2.76 Bn |
| Apr 26, 2024 | 3.04 Bn |
| Jan 26, 2024 | 2.78 Bn |
| Oct 27, 2023 | 2.76 Bn |
| Jul 28, 2023 | 2.63 Bn |
| Apr 28, 2023 | 2.98 Bn |
| Jan 27, 2023 | 2.69 Bn |
| Oct 28, 2022 | 2.54 Bn |
| Jul 29, 2022 | 2.52 Bn |
| Apr 29, 2022 | 2.59 Bn |
| Jan 28, 2022 | 2.46 Bn |
| Oct 29, 2021 | 2.50 Bn |
Medtronic Cost of Revenue 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=cost-of-revenue&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();