Dominos Pizza (DPZ) EBITDA (2010 - 2026)
Dominos Pizza (DPZ) posted EBITDA of $263.98 million for Q3 2026, up 7.8% from $244.93 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Dominos Pizza (DPZ) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 6, 2026, EBITDA at Dominos Pizza was $1.1 billion, up 6.9% year-over-year; for FY2025, it came in at $1.05 billion, up 7.9% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a four-year compound annual growth rate of 7.1% (FY2021 to FY2025).
- In prior years, Dominos Pizza's EBITDA was $972.03 million in FY2024 (+7.3%), $905.69 million in FY2023 (+6.1%), $853.82 million in FY2022 and $796.21 million in FY2021.
- Quarterly EBITDA has run from a low of $184.84 million in Q1 2022 to a high of $325.35 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last 11 quarters, with growth averaging 7.2% over the last eight quarters.
- Across the past five years, year-over-year growth in EBITDA ran from 0.1% in Q1 2025 to 17.6% in Q1 2024.
- According to Business Quant data, EBITDA for the three prior quarters was $253.87 million (Q2 2026), $252.28 million (Q1 2026) and $325.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 554.58 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 776.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 776.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 201.13 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 263.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 263.98 Mn |
| Jun 14, 2026 | 253.87 Mn |
| Mar 22, 2026 | 252.28 Mn |
| Dec 28, 2025 | 325.35 Mn |
| Sep 7, 2025 | 244.93 Mn |
| Jun 15, 2025 | 246.60 Mn |
| Mar 23, 2025 | 231.67 Mn |
| Dec 29, 2024 | 302.03 Mn |
| Sep 8, 2024 | 220.80 Mn |
| Jun 16, 2024 | 217.66 Mn |
| Mar 24, 2024 | 231.55 Mn |
| Dec 31, 2023 | 284.52 Mn |
| Sep 10, 2023 | 208.98 Mn |
| Jun 18, 2023 | 215.25 Mn |
| Mar 26, 2023 | 196.95 Mn |
| Sep 11, 2022 | 196.69 Mn |
| Jun 19, 2022 | 197.54 Mn |
| Mar 27, 2022 | 184.84 Mn |
| Jan 2, 2022 | 327.62 Mn |
| Sep 12, 2021 | 196.86 Mn |
API Access
Dominos Pizza EBITDA 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=ebitda&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();