Medtronic (MDT) Retained Earnings (2014 - 2026)
Medtronic's Retained Earnings came in at $33.19 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.0% from $31.61 billion a year earlier and up 1.7% from the prior quarter.
Medtronic (MDT) Retained Earnings (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Medtronic's Retained Earnings was $32.64 billion, up 3.7% from FY2025.
- Retained Earnings carries a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- Going back by fiscal year, Retained Earnings was $31.48 billion in FY2025 (+3.5%), $30.4 billion in FY2024 (unchanged), $30.39 billion in FY2023 (+0.5%) and $30.25 billion in FY2022 (+5.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Retained Earnings since fiscal Q3 2017.
- Year-over-year, Retained Earnings has increased for nine consecutive quarters, with growth averaging 3.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 0.0% (fiscal Q1 2024) to 6.2% (fiscal Q1 2023).
- Business Quant data shows MDT's Retained Earnings at $32.64 billion (Q4 2026), $32.3 billion (Q3 2026) and $32.07 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 63.74 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 49.64 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 49.18 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 4.53 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 21.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 8.40 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 15.17 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.19 Bn |
| Apr 24, 2026 | 32.64 Bn |
| Jan 23, 2026 | 32.30 Bn |
| Oct 24, 2025 | 32.07 Bn |
| Jul 25, 2025 | 31.61 Bn |
| Apr 25, 2025 | 31.48 Bn |
| Jan 24, 2025 | 31.32 Bn |
| Oct 25, 2024 | 30.92 Bn |
| Jul 26, 2024 | 30.55 Bn |
| Apr 26, 2024 | 30.40 Bn |
| Jan 26, 2024 | 30.66 Bn |
| Oct 27, 2023 | 30.26 Bn |
| Jul 28, 2023 | 30.27 Bn |
| Apr 28, 2023 | 30.39 Bn |
| Jan 27, 2023 | 30.12 Bn |
| Oct 28, 2022 | 29.80 Bn |
| Jul 29, 2022 | 30.28 Bn |
| Apr 29, 2022 | 30.25 Bn |
| Jan 28, 2022 | 29.61 Bn |
| Oct 29, 2021 | 28.97 Bn |
Medtronic Retained Earnings 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=retained-earnings&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();