Dominos Pizza (DPZ) Property, Plant & Equipment (Net) (2011 - 2026)
Dominos Pizza's Property, Plant & Equipment (Net) was $374.45 million in Q2 2026, up 29.0% from $290.27 million a year earlier but down 3.2% from the prior quarter.
Dominos Pizza (DPZ) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Dominos Pizza came in at $324.02 million, up 7.6% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 2.2% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $301.18 million in FY2024 (-1.0%), $304.37 million in FY2023, $324.07 million in FY2022 (+9.0%) and $297.36 million in FY2021.
- Quarterly Property, Plant & Equipment (Net) has moved between $290.27 million (Q2 2025) and $386.73 million (Q1 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 8.0% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2026 (growth of 31.1%); the worst was Q3 2023 (a decline of 6.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.99 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.61 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.87 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 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 | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.89 Bn |
| 10 | Dominos Pizza | 10.07 Bn | 9.40 Bn | 478.23 Mn | 374.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 14, 2026 | 374.45 Mn |
| Mar 22, 2026 | 386.73 Mn |
| Dec 28, 2025 | 324.02 Mn |
| Sep 7, 2025 | 290.65 Mn |
| Jun 15, 2025 | 290.27 Mn |
| Mar 23, 2025 | 294.93 Mn |
| Dec 29, 2024 | 301.18 Mn |
| Sep 8, 2024 | 293.41 Mn |
| Jun 16, 2024 | 296.40 Mn |
| Mar 24, 2024 | 297.24 Mn |
| Dec 31, 2023 | 304.37 Mn |
| Sep 10, 2023 | 290.39 Mn |
| Jun 18, 2023 | 295.94 Mn |
| Mar 26, 2023 | 298.88 Mn |
| Jan 1, 2023 | 302.24 Mn |
| Sep 11, 2022 | 311.29 Mn |
| Jun 19, 2022 | 313.81 Mn |
| Mar 27, 2022 | 319.65 Mn |
| Jan 2, 2022 | 324.07 Mn |
| Sep 12, 2021 | 293.38 Mn |
Dominos Pizza 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=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DPZ", "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=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();