Dominos Pizza (DPZ) Other Accumulated Expenses (2011 - 2026)
Dominos Pizza (DPZ) recorded Other Accumulated Expenses of $184.25 million in Q3 2026, up 17.6% from $156.69 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Dominos Pizza (DPZ) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza reported Other Accumulated Expenses of $208.61 million, up 75.7% from FY2024.
- Annual Other Accumulated Expenses has a four-year compound annual growth rate of 27.1% (FY2021 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $118.75 million in FY2024 (-5.0%), $124.95 million in FY2023 (+34.4%), $92.96 million in FY2022 and $79.84 million in FY2021.
- Quarterly Other Accumulated Expenses has ranged from $92.96 million in Q4 2022 to $208.61 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 75.7% in Q4 2025, against a decline of 11.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $186.22 million (Q2 2026), $202.44 million (Q1 2026) and $208.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 184.25 Mn |
| Jun 14, 2026 | 186.22 Mn |
| Mar 22, 2026 | 202.44 Mn |
| Dec 28, 2025 | 208.61 Mn |
| Sep 7, 2025 | 156.69 Mn |
| Jun 15, 2025 | 157.19 Mn |
| Mar 23, 2025 | 198.24 Mn |
| Dec 29, 2024 | 118.75 Mn |
| Sep 8, 2024 | 176.49 Mn |
| Jun 16, 2024 | 172.48 Mn |
| Mar 24, 2024 | 196.54 Mn |
| Dec 31, 2023 | 124.95 Mn |
| Sep 10, 2023 | 146.82 Mn |
| Jun 18, 2023 | 139.34 Mn |
| Mar 26, 2023 | 160.07 Mn |
| Jan 1, 2023 | 92.96 Mn |
| Sep 11, 2022 | 144.88 Mn |
| Jun 19, 2022 | 130.80 Mn |
| Mar 27, 2022 | 169.00 Mn |
| Jan 2, 2022 | 102.58 Mn |
API Access
Dominos Pizza Other 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=other-accumulated-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();