Dominos Pizza (DPZ) Accumulated Expenses (2011 - 2025)
Dominos Pizza's (DPZ) quarterly Accumulated Expenses came in at $53.2 million in Q4 2025, down 8.59% year-over-year from $58.2 million in Q4 2024, and down 8.59% quarter-over-quarter from $58.2 million in Q4 2024.
Dominos Pizza (DPZ) Accumulated Expenses (2011 - 2025) Analysis & Trends
Dominos Pizza (DPZ) has reported Accumulated Expenses for 13 consecutive years, with $53.2 million the latest figure, recorded in Q4 2025.
- On a quarterly basis, Accumulated Expenses fell 8.59% year-over-year to $53.2 million in Q4 2025; TTM through Dec 2025 was $53.2 million, a 8.59% decrease from a year earlier, with the FY2025 full-year figure at $53.2 million, down 8.59% from the prior year.
- Accumulated Expenses was $53.2 million for Q4 2025 at Dominos Pizza, down from $58.2 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $59.6 million in Q1 2022 and troughed at $40.4 million in Q1 2023.
- A 5-year average of $54.1 million and a median of $56.4 million in 2023 frame the typical range for Accumulated Expenses.
- The widest YoY moves for Accumulated Expenses: up 35.23% in 2023, down 32.11% in 2023.
- Over 5 years, Accumulated Expenses stood at $58.5 million in 2021, then grew by 1.79% to $59.6 million in 2022, then slipped by 8.19% to $54.7 million in 2023, then grew by 6.43% to $58.2 million in 2024, then decreased by 8.59% to $53.2 million in 2025.
- The last three Accumulated Expenses figures came in at $53.2 million (Q4 2025), $58.2 million (Q4 2024), and $54.7 million (Q4 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | 53.20 Mn |
| Dec 29, 2024 | 58.20 Mn |
| Dec 31, 2023 | 54.69 Mn |
| Jan 1, 2023 | 40.44 Mn |
| Jan 2, 2022 | 59.57 Mn |
| Jan 3, 2021 | 58.52 Mn |
| Dec 29, 2019 | 46.21 Mn |
| Dec 30, 2018 | 40.96 Mn |
| Dec 31, 2017 | 37.42 Mn |
| Jan 1, 2017 | 42.09 Mn |
| Jan 3, 2016 | 33.00 Mn |
| Dec 28, 2014 | 23.62 Mn |
| Dec 29, 2013 | 23.65 Mn |
| Dec 30, 2012 | 21.84 Mn |
| Jun 17, 2012 | 67.62 Mn |
| Mar 25, 2012 | 51.44 Mn |
| Jan 1, 2012 | 21.69 Mn |
| Sep 11, 2011 | 67.17 Mn |
| Jun 19, 2011 | 66.44 Mn |
| Mar 27, 2011 | 64.86 Mn |
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();