Dominos Pizza (DPZ) EV to EBITDA (2010 - 2026)
Dominos Pizza's (DPZ) quarterly EV to EBITDA came in at 45.29 in Q2 2026, down 32.19% year-over-year from 66.79 in Q2 2025, and down 14.17% quarter-over-quarter from 52.77 in Q1 2026.
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Dominos Pizza (DPZ) EV to EBITDA (2010 - 2026) Analysis & Trends
Dominos Pizza (DPZ) has reported EV to EBITDA for 17 consecutive years, with 45.29 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 32.19% year-over-year to 45.29 in Q2 2026; TTM through Jun 2026 was 10.71, a 35.33% decrease from a year earlier, with the FY2025 full-year figure at 14.74, down 10.36% from the prior year.
- EV to EBITDA was 45.29 for Q2 2026 at Dominos Pizza, down from 52.77 in the prior quarter.
- Over five years, EV to EBITDA peaked at 90.85 in Q2 2024 and troughed at 31.36 in Q1 2023.
- A 5-year average of 63.9 and a median of 67.22 in 2022 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA jumped 82.15% in 2022 and slumped 53.35% in 2023, its largest moves.
- Over 5 years, EV to EBITDA stood at 71.89 in 2022, then retreated by 24.44% to 54.32 in 2023, then fell by 2.79% to 52.8 in 2024, then decreased by 9.95% to 47.55 in 2025, then declined by 4.75% to 45.29 in 2026.
- The last three EV to EBITDA figures came in at 45.29 (Q2 2026), 52.77 (Q1 2026), and 47.55 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 14, 2026 | 45.29 |
| Mar 22, 2026 | 52.77 |
| Dec 28, 2025 | 47.55 |
| Sep 7, 2025 | 69.12 |
| Jun 15, 2025 | 66.79 |
| Mar 23, 2025 | 73.24 |
| Dec 29, 2024 | 52.80 |
| Sep 8, 2024 | 69.18 |
| Jun 16, 2024 | 90.85 |
| Mar 24, 2024 | 74.40 |
| Dec 31, 2023 | 54.32 |
| Sep 10, 2023 | 69.53 |
| Jun 18, 2023 | 57.98 |
| Mar 26, 2023 | 60.35 |
| Jan 1, 2023 | 31.36 |
| Sep 11, 2022 | 71.89 |
| Jun 19, 2022 | 74.80 |
| Mar 27, 2022 | 84.69 |
| Jan 2, 2022 | 67.22 |
| Sep 12, 2021 | 101.02 |
API Access
Dominos Pizza EV to 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=ev-to-ebitda&ticker=DPZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();