Medtronic (MDT) Accounts Payables (2014 - 2026)
Medtronic's Accounts Payables was $2.7 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.5% from $2.56 billion a year earlier and up 1.9% from the prior quarter.
Medtronic (MDT) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Accounts Payables at Medtronic came in at $2.64 billion, up 8.0% from FY2025.
- Accounts Payables shows a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- In earlier fiscal years, Accounts Payables was $2.45 billion in FY2025 (+1.6%), $2.41 billion in FY2024 (-9.5%), $2.66 billion in FY2023 (+17.0%) and $2.28 billion in FY2022 (+8.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Accounts Payables in data going back to fiscal Q4 2014.
- Compared with a year earlier, Accounts Payables has increased for nine straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was fiscal Q4 2023 (growth of 17.0%); the worst was fiscal Q3 2024 (a decline of 9.8%).
- Per Business Quant data, MDT's Accounts Payables in the three fiscal quarters before Q1 2027 was $2.64 billion (Q4 2026), $2.57 billion (Q3 2026) and $2.58 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 608.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.70 Bn |
| Apr 24, 2026 | 2.64 Bn |
| Jan 23, 2026 | 2.57 Bn |
| Oct 24, 2025 | 2.58 Bn |
| Jul 25, 2025 | 2.56 Bn |
| Apr 25, 2025 | 2.45 Bn |
| Jan 24, 2025 | 2.29 Bn |
| Oct 25, 2024 | 2.38 Bn |
| Jul 26, 2024 | 2.29 Bn |
| Apr 26, 2024 | 2.41 Bn |
| Jan 26, 2024 | 1.99 Bn |
| Oct 27, 2023 | 2.17 Bn |
| Jul 28, 2023 | 2.24 Bn |
| Apr 28, 2023 | 2.66 Bn |
| Jan 27, 2023 | 2.21 Bn |
| Oct 28, 2022 | 2.20 Bn |
| Jul 29, 2022 | 2.18 Bn |
| Apr 29, 2022 | 2.28 Bn |
| Jan 28, 2022 | 1.99 Bn |
| Oct 29, 2021 | 1.92 Bn |
Medtronic Accounts Payables 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=accounts-payables&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();