Dominos Pizza (DPZ) Property, Plant & Equipment (Net) (2011 - 2026)
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Analysis
Dominos Pizza (DPZ) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 2.87 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 5.05 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.89 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 374.45 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();