Mcdonalds (MCD) Property, Plant & Equipment (Net) (2009 - 2026)
Mcdonalds (MCD) reported Property, Plant & Equipment (Net) of $28.48 billion for Q2 2026, up 5.3% from $27.04 billion a year earlier and up 0.8% from the prior quarter.
Mcdonalds (MCD) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds posted Property, Plant & Equipment (Net) of $28.24 billion, up 11.6% from FY2024.
- Property, Plant & Equipment (Net) has increased for three consecutive years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $25.3 billion in FY2024 (+1.6%), $24.91 billion in FY2023 (+4.8%), $23.77 billion in FY2022 (-3.8%) and $24.72 billion in FY2021 (-1.0%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 13 quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2025 (growth of 11.6%); the low point was Q3 2022 (a decline of 7.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.25 billion (Q1 2026), $28.24 billion (Q4 2025) and $27.49 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | 6.99 Bn |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | 1.61 Bn |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | 2.87 Bn |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.89 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 899.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.48 Bn |
| Mar 31, 2026 | 28.25 Bn |
| Dec 31, 2025 | 28.24 Bn |
| Sep 30, 2025 | 27.49 Bn |
| Jun 30, 2025 | 27.04 Bn |
| Mar 31, 2025 | 25.75 Bn |
| Dec 31, 2024 | 25.30 Bn |
| Sep 30, 2024 | 25.78 Bn |
| Jun 30, 2024 | 24.81 Bn |
| Mar 31, 2024 | 24.68 Bn |
| Dec 31, 2023 | 24.91 Bn |
| Sep 30, 2023 | 23.92 Bn |
| Jun 30, 2023 | 24.10 Bn |
| Mar 31, 2023 | 23.86 Bn |
| Dec 31, 2022 | 23.77 Bn |
| Sep 30, 2022 | 22.70 Bn |
| Jun 30, 2022 | 23.33 Bn |
| Mar 31, 2022 | 24.43 Bn |
| Dec 31, 2021 | 24.72 Bn |
| Sep 30, 2021 | 24.43 Bn |
Mcdonalds Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MCD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();