Dominos Pizza (DPZ) Accumulated Expenses (2011 - 2025)
Dominos Pizza's Accumulated Expenses was $67.62 million in Q2 2012, up 31.4% from the prior quarter.
Analysis
Dominos Pizza (DPZ) Accumulated Expenses (2011 - 2025) Analysis & Trends
At the end of FY2011, Accumulated Expenses at Dominos Pizza came in at $77.25 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Dominos Pizza | 10.07 Bn | 9.40 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | 32.32 Mn |
| Dec 29, 2024 | 32.78 Mn |
| Dec 31, 2023 | 33.37 Mn |
| Jan 1, 2023 | 34.47 Mn |
| Jan 2, 2022 | 37.98 Mn |
| Jan 3, 2021 | 31.70 Mn |
| Dec 29, 2019 | 27.88 Mn |
| Dec 30, 2018 | 25.98 Mn |
| Dec 31, 2017 | 22.10 Mn |
| Jan 1, 2017 | 18.83 Mn |
| Jan 3, 2016 | 20.46 Mn |
| Dec 28, 2014 | 14.01 Mn |
| Dec 29, 2013 | 14.38 Mn |
| Dec 30, 2012 | 15.04 Mn |
| Jun 17, 2012 | 67.62 Mn |
| Mar 25, 2012 | 51.44 Mn |
| Jan 1, 2012 | 15.78 Mn |
| Sep 11, 2011 | 67.17 Mn |
| Jun 19, 2011 | 66.44 Mn |
| Mar 27, 2011 | 64.86 Mn |
API Access
Dominos Pizza Accumulated 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=accumulated-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();