Medtronic (MDT) Cash & Equivalents (2014 - 2026)
Medtronic's Cash & Equivalents was $1.69 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 32.8% from $1.27 billion a year earlier but down 13.2% from the prior quarter.
Medtronic (MDT) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Cash & Equivalents at Medtronic came in at $1.95 billion, down 12.1% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -11.5% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $2.22 billion in FY2025 (+72.7%), $1.28 billion in FY2024 (-16.8%), $1.54 billion in FY2023 (-58.5%) and $3.71 billion in FY2022 (+3.4%).
- Quarterly Cash & Equivalents has moved between $1.15 billion (fiscal Q3 2026) and $4.83 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2025 (growth of 72.7%); the worst was fiscal Q2 2024 (a decline of 72.8%).
- Per Business Quant data, MDT's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $1.95 billion (Q4 2026), $1.15 billion (Q3 2026) and $1.28 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 162.28 Bn | 141.94 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.44 Bn | 135.73 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 132.01 Bn | 97.52 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 61.70 Bn | 44.90 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 1.76 Bn |
| 10 | GE HealthCare Technologies | 37.39 Bn | 25.63 Bn | 2.22 Bn | 2.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.69 Bn |
| Apr 24, 2026 | 1.95 Bn |
| Oct 24, 2025 | 1.28 Bn |
| Jul 25, 2025 | 1.27 Bn |
| Oct 25, 2024 | 1.39 Bn |
| Jul 26, 2024 | 1.31 Bn |
| Oct 27, 2023 | 1.31 Bn |
| Jul 28, 2023 | 1.34 Bn |
| Oct 28, 2022 | 4.83 Bn |
| Jul 29, 2022 | 2.14 Bn |
| Oct 29, 2021 | 2.90 Bn |
| Jul 30, 2021 | 3.00 Bn |
| Oct 30, 2020 | 6.42 Bn |
| Jul 31, 2020 | 6.50 Bn |
| Apr 24, 2020 | 4.14 Bn |
| Oct 25, 2019 | 3.96 Bn |
| Jul 26, 2019 | 5.08 Bn |
| Apr 26, 2019 | 4.39 Bn |
| Oct 26, 2018 | 3.91 Bn |
| Jul 27, 2018 | 4.38 Bn |
Medtronic Cash & Equivalents 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=cash-and-equivalents&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();