Dominos Pizza (DPZ) EBIT (2010 - 2026)
Dominos Pizza's EBIT came in at $241.77 million for Q3 2026, up 8.3% from $223.17 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Dominos Pizza (DPZ) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 6, 2026, Dominos Pizza reported EBIT of $999.84 million, up 7.3% year-over-year; for FY2025, it was $953.97 million, up 8.5% from FY2024.
- EBIT has increased in each of the last three years, with a four-year compound annual growth rate of 7.1% (FY2021 to FY2025).
- Going back by year, EBIT was $879 million in FY2024 (+7.3%), $819.52 million in FY2023 (+6.7%), $767.93 million in FY2022 and $725.64 million in FY2021.
- The five-year range for quarterly EBIT is $164.54 million (Q1 2022) to $381.11 million (Q4 2022).
- Year-over-year, EBIT has increased for six consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q1 2024 (growth of 18.6%), and the weakest in Q4 2023 (a decline of 32.5%).
- Business Quant data shows DPZ's EBIT at $232.04 million (Q2 2026), $230.36 million (Q1 2026) and $295.67 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 451.96 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 696.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 696.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 142.79 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 241.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 241.77 Mn |
| Jun 14, 2026 | 232.04 Mn |
| Mar 22, 2026 | 230.36 Mn |
| Dec 28, 2025 | 295.67 Mn |
| Sep 7, 2025 | 223.17 Mn |
| Jun 15, 2025 | 225.04 Mn |
| Mar 23, 2025 | 210.10 Mn |
| Dec 29, 2024 | 273.65 Mn |
| Sep 8, 2024 | 198.83 Mn |
| Jun 16, 2024 | 196.10 Mn |
| Mar 24, 2024 | 210.41 Mn |
| Dec 31, 2023 | 257.20 Mn |
| Sep 10, 2023 | 189.43 Mn |
| Jun 18, 2023 | 195.40 Mn |
| Mar 26, 2023 | 177.48 Mn |
| Jan 1, 2023 | 381.11 Mn |
| Sep 11, 2022 | 176.45 Mn |
| Jun 19, 2022 | 178.11 Mn |
| Mar 27, 2022 | 164.54 Mn |
| Jan 2, 2022 | 298.81 Mn |
API Access
Dominos Pizza EBIT 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=ebit&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();