Dominos Pizza (DPZ) Operating Expenses (2010 - 2026)
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Analysis
Dominos Pizza (DPZ) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 2.84 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.54 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 105.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 105.73 Mn |
| Jun 14, 2026 | 115.37 Mn |
| Mar 22, 2026 | 111.41 Mn |
| Dec 28, 2025 | 142.34 Mn |
| Sep 7, 2025 | 105.09 Mn |
| Jun 15, 2025 | 107.61 Mn |
| Mar 23, 2025 | 109.08 Mn |
| Dec 29, 2024 | 138.53 Mn |
| Sep 8, 2024 | 103.99 Mn |
| Jun 16, 2024 | 115.95 Mn |
| Mar 24, 2024 | 101.02 Mn |
| Dec 31, 2023 | 144.37 Mn |
| Sep 10, 2023 | 97.20 Mn |
| Jun 18, 2023 | 97.79 Mn |
| Mar 26, 2023 | 95.19 Mn |
| Jan 1, 2023 | 130.76 Mn |
| Sep 11, 2022 | 91.21 Mn |
| Jun 19, 2022 | 97.07 Mn |
| Mar 27, 2022 | 97.49 Mn |
| Sep 12, 2021 | 96.34 Mn |
API Access
Dominos Pizza Operating Expenses 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=operating-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();