Wendy's (WEN) Property, Plant & Equipment (Net) (2010 - 2026)
Wendy's' Property, Plant & Equipment (Net) came in at $895.6 million for Q2 2026, down 2.2% from $915.66 million a year earlier and down 1.4% from the prior quarter.
Wendy's (WEN) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's' Property, Plant & Equipment (Net) was $937.8 million, up 3.3% from FY2024.
- Property, Plant & Equipment (Net) carries a four-year compound annual growth rate of 0.6% (FY2021 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $907.79 million in FY2024 (+1.9%), $891.08 million in FY2023 (-0.5%), $895.78 million in FY2022 and $915.89 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in seven of the last eight quarters, with growth averaging 1.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 3.3%), and the weakest in Q2 2026 (a decline of 2.2%).
- Business Quant data shows WEN's Property, Plant & Equipment (Net) at $908.48 million (Q1 2026), $937.8 million (Q4 2025) and $923.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 2.87 Bn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 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 | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 1.89 Bn |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 895.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 895.60 Mn |
| Mar 29, 2026 | 908.48 Mn |
| Dec 28, 2025 | 937.80 Mn |
| Sep 28, 2025 | 923.51 Mn |
| Jun 29, 2025 | 915.66 Mn |
| Mar 30, 2025 | 907.44 Mn |
| Dec 29, 2024 | 907.79 Mn |
| Sep 29, 2024 | 894.20 Mn |
| Jun 30, 2024 | 894.59 Mn |
| Mar 31, 2024 | 890.67 Mn |
| Dec 31, 2023 | 891.08 Mn |
| Oct 1, 2023 | 886.79 Mn |
| Jul 2, 2023 | 888.80 Mn |
| Apr 2, 2023 | 885.09 Mn |
| Jan 1, 2023 | 895.78 Mn |
| Oct 2, 2022 | 882.28 Mn |
| Jul 3, 2022 | 890.42 Mn |
| Apr 3, 2022 | 895.68 Mn |
| Jan 2, 2022 | 906.87 Mn |
| Oct 3, 2021 | 873.25 Mn |
Wendy's 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=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WEN", "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=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();