Dominos Pizza (DPZ) Revenue (2010 - 2026)
Dominos Pizza (DPZ) recorded Revenue of $1.19 billion in Q3 2026, up 3.4% from $1.15 billion a year earlier but down 0.7% from the prior quarter.
Dominos Pizza (DPZ) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Dominos Pizza's Revenue came in at $5.07 billion as of Sep 6, 2026, up 4.5% year-over-year; for FY2025, it came in at $4.94 billion, up 5.0% from FY2024.
- Annual Revenue has a four-year compound annual growth rate of 4.7% (FY2021 to FY2025).
- Across earlier years, Revenue came in at $4.71 billion in FY2024 (+5.1%), $4.48 billion in FY2023 (-1.3%), $4.54 billion in FY2022 and $4.12 billion in FY2021.
- Quarterly Revenue has ranged from $1.01 billion in Q1 2022 to $1.54 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for 12 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 7.1% in Q2 2024, against a decline of 3.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.19 billion (Q2 2026), $1.15 billion (Q1 2026) and $1.54 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 3.29 Bn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 2.53 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.53 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 1.68 Bn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 1.19 Bn |
| Jun 14, 2026 | 1.19 Bn |
| Mar 22, 2026 | 1.15 Bn |
| Dec 28, 2025 | 1.54 Bn |
| Sep 7, 2025 | 1.15 Bn |
| Jun 15, 2025 | 1.15 Bn |
| Mar 23, 2025 | 1.11 Bn |
| Dec 29, 2024 | 1.44 Bn |
| Sep 8, 2024 | 1.08 Bn |
| Jun 16, 2024 | 1.10 Bn |
| Mar 24, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.40 Bn |
| Sep 10, 2023 | 1.03 Bn |
| Jun 18, 2023 | 1.02 Bn |
| Mar 26, 2023 | 1.02 Bn |
| Jan 1, 2023 | 1.39 Bn |
| Sep 11, 2022 | 1.07 Bn |
| Jun 19, 2022 | 1.07 Bn |
| Mar 27, 2022 | 1.01 Bn |
| Sep 12, 2021 | 997.99 Mn |
Dominos Pizza Revenue 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=revenue&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();