Dominos Pizza (DPZ) Selling, General & Administrative (2010 - 2026)
Dominos Pizza (DPZ) reported Selling, General & Administrative of $115.37 million for Q2 2026, up 7.2% from $107.61 million a year earlier and up 3.6% from the prior quarter.
Dominos Pizza (DPZ) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 14, 2026, Dominos Pizza's Selling, General & Administrative came in at $474.21 million, up 3.3% year-over-year; for FY2025, it was $464.12 million, up 1.0% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 3.4% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $459.49 million in FY2024 (+5.7%), $434.55 million in FY2023, $428.33 million in FY2022 (+5.3%) and $406.61 million in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of $91.21 million in Q3 2022 and a high of $144.37 million in Q4 2023.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 2.1% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 18.6%); the low point was Q2 2025 (a decline of 7.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 72.41 Mn |
| 10 | Dominos Pizza | 9.85 Bn | 9.18 Bn | 478.23 Mn | 115.37 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 11, 2022 | 91.21 Mn |
| Jun 19, 2022 | 97.07 Mn |
| Mar 27, 2022 | 97.49 Mn |
| Sep 12, 2021 | 96.34 Mn |
| Jun 20, 2021 | 100.45 Mn |
| Mar 28, 2021 | 91.25 Mn |
Dominos Pizza Selling, General & Administrative 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=selling-general-and-administrative&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();