Dominos Pizza (DPZ) Land & Improvements (2011 - 2026)
Dominos Pizza's Land & Improvements came in at $174.5 million for Q3 2026, up 66.7% from $104.66 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Dominos Pizza (DPZ) Land & Improvements (2011 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza's Land & Improvements was $105.56 million, up 0.7% from FY2024.
- Land & Improvements carries a four-year compound annual growth rate of 4.6% (FY2021 to FY2025).
- Going back by year, Land & Improvements was $104.79 million in FY2024 (-3.7%), $108.79 million in FY2023 (+3.0%), $105.66 million in FY2022 and $88.06 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Land & Improvements in data going back to Q4 2011.
- Year-over-year, Land & Improvements has increased for four consecutive quarters, with growth averaging 23.1% over the last eight quarters.
- The fastest year-over-year change in Land & Improvements over five years came in Q3 2026 (growth of 66.7%), and the weakest in Q1 2025 (a decline of 4.0%).
- Business Quant data shows DPZ's Land & Improvements at $172.24 million (Q2 2026), $171.91 million (Q1 2026) and $105.56 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 174.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 174.50 Mn |
| Jun 14, 2026 | 172.24 Mn |
| Mar 22, 2026 | 171.91 Mn |
| Dec 28, 2025 | 105.56 Mn |
| Sep 7, 2025 | 104.66 Mn |
| Jun 15, 2025 | 104.59 Mn |
| Mar 23, 2025 | 104.36 Mn |
| Dec 29, 2024 | 104.79 Mn |
| Sep 8, 2024 | 105.02 Mn |
| Jun 16, 2024 | 108.65 Mn |
| Mar 24, 2024 | 108.69 Mn |
| Dec 31, 2023 | 108.79 Mn |
| Sep 10, 2023 | 105.72 Mn |
| Jun 18, 2023 | 105.85 Mn |
| Mar 26, 2023 | 105.58 Mn |
| Jan 1, 2023 | 105.66 Mn |
| Sep 11, 2022 | 106.91 Mn |
| Jun 19, 2022 | 108.25 Mn |
| Mar 27, 2022 | 108.43 Mn |
| Jan 2, 2022 | 108.37 Mn |
API Access
Dominos Pizza Land & Improvements 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=land-and-improvements&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();